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DESIGN AND ANALYSIS OF A CMOS IMAGE SENSOR

NURANISAH BINTI HALIM

UNIVERSITI SAINS MALAYISA

2018

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ACKNOWLEDGEMENT

First and foremost I would like to express my gratefulness to the All mighty Allah S.W.T for giving me strength and health during completing this final year project.

I would like to express my sincerest and gratitude to my supervisor, Dr. Anwar Hasni, whose support, guidance and encouragement from the first day of proposing the project title to the very end of this report that helped me to develop my understanding towards the project, his willingness to motivate me contributed a lot in completing this project.

Finally, an honorable regards and blessing to my beloved family and friends for supporting me in any aspect during the completion of this project.

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TABLE OF CONTENT

CONTENT PAGE

AKNOWLEDGEMENT ii

TABLE OF CONTENTS iii

LISTS OF TABLES vi

LISTS OF FIGURES vii

LIST OF ABBREVIATIONS ix ABSTRAK x

ABSTRACT xi CHAPTER 1 - INTRODUCTION 1.1 Background 1

1.2 Problem Statement 2

1.3 Objectives 3

1.4 Project Scope 3

1.5 Thesis Outline 4

CHAPTER 2 - LITERATURE REVIEW

2.1 Overview 6

2.2 Background of Imaging Sensor 6

2.3 Related Works 8

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2.4 Comparison between CMOS image sensor and CCDs 8

2.5 Fundamental of characteristics of photo-detector 10

2.6 CMOS pixel sensor circuits and techniques 12

2.6.1 Passive Pixel Sensor (PPS) 13

2.6.2 Active Pixel Sensor, 3T-APS 14

2.6.3 Active pixel sensor, 4T-APS 15

2.6.4 Comparison Between Pixel Architecture 17

2.7 Different Design of Active Pixel Sensor (3T-APS) 18

2.8 Sensor Peripherals 21

2.8.1 Addressing 21

2.9 Overall Architecture of CMOS Image Sensor 22

2.10 Summary 24

CHAPTER 3 - METHODOLOGY

3.1 Research Methodology 25

3.2 Circuit Design 29

3.2.1 Design of Photodiode Active Pixel Sensor 3T-APS 30

3.3 Layout Design 32

3.4 Summary 35

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v CHAPTER 4 - RESULTS AND DISCUSSIONS

4.1 Pre-layout Simulation 36

4.1.1 APS Single Pixel Parametric Analysis 42

4.2 Post-Layout Simulation 43

4.3 Summary 46

CHAPTER 5 - CONCLUSION AND RECOMMENDATION

5.1 Conclusion 47

5.2 Recommendation 48

REFERENCES 49

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vi

LIST OF TABLES

Page Table 2.1 Comparison of three types pixel structure PPS, 3T-APS and 4T-APS 18 Table 2.2 The function of on chip blocks of CMOS architecture 23

Table 3.1 Input parameters scaling of photodiode APS 31

Table 4.1 Characteristic of proposed 3T-APS 42

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LIST OF FIGURES

FIGURE DESCRIPTION PAGE

Figure 2.1 Architecture of a CMOS image sensor [3] 7

Figure 2.2 CCD image sensor 10

Figure 2.3 CMOS image sensor 10

Figure 2.4 Profile diagram of PN photodiode structure 11

Figure 2.5 A photodiode-type PPS schematic [4] 14

Figure 2.6 Basic pixel circuits of a 3T-APS [3] 14

Figure 2.7 Pixel structure of the 4T-APS 16

Figure 2.8 Incomplete charge transfer in a 4T-APS 17

Figure 2.9 Different designs of APS 20

Figure 2.10 Addressing methods for CMOS image sensors 22

Figure 2.11 CMOS image sensor floor-plan [4] 23

Figure 3.1 Flow Chart of Methodology 27

Figure 3.2 Rolling shutter readout method 28

Figure 3.3 Schematic view of photodiode 29

Figure 3.4 Schematic view of Reset Transistor 29

Figure 3.5 Schematic view of Row Select Transistor 30

Figure 3.6 Layout structure of 1 pixel photodiode APS 32

Figure 4.1 Design schematic of photodiode active pixel sensor 3T-APS. 36

Figure 4.2 DC Analysis of current source and voltage 37

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Figure 4.3 Output waveform for Reset Transistor, Source Follower Transistor and 38 Row Select Transistor

Figure 4.4 Single Pixel Parametric Analysis of Photocurrent 40 Figure 4.5 Transient response of proposed 3T-APS CMOS Layout 41

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LIST OF ABBREVIATIONS

ABBREVIATIONS DESCRIPTION

CMOS Complementary Metal-Oxide-Semiconductor

CCD Charge Coupled Devices

CIS CMOS image sensor

DC Direct Current

GND Ground

MOSFET Metal Oxide Semiconductor Fiel Effect Transistor

NMOS N Channel MOSFET

PMOS P Channel MOSFET

APS Active Pixel Sensor

PPS Passive Pixel Structure

LASI LAyout System for Individuals

ADE Analog Design Environment

CDS Correlated Double Sampling

FF Fill Factor

PD Photodiode

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REKA BENTUK DAN ANALISIS SENSOR IMEJ CMOS ABSTRAK

Projek ini membentangkan satu cip yang direka untuk tujuan menilai kaedah reka bentuk dalam melaksanakan CMOS Image Sensor Technology (CIS) untuk aplikasi visi berasaskan Active Pixel Sensor (APS). Untuk tujuan ini, cara-cara yang mungkin untuk melaksanakan sensor array pixel dan litar bacaan berkaitan dengan teknologi CMOS standard menggunakan proses 0.18μm CMOS yang tersedia secara komersil dengan kedua-dua p-baik dan pelaksanaan n-baik diterokai. Ini adalah untuk memastikan bahawa sensor imej kami digunakan untuk banyak aplikasi. Untuk mencapai matlamat ini, teknologi CIS penyelidikan ini perlu meningkatkan ciri- cirinya seperti kepekaan, arus gelap dan bunyi bising yang sangat bergantung pada susun atur.

Cip ini termasuk satu set arsitektur piksel di mana parameter yang berbeza telah diubah suai, susunan penyebaran aktif dan voltan ambang transistor pengikut yang asal. Pengimejan CMOS hanya mempunyai 1 piksel, tetapi itu boleh diperbaiki dengan menukar logik imbasan kerana saiz array piksel ini adalah metrik yang memberikan petunjuk sensor imej prestasi di mana ia dinyatakan sebagai megapixel. Terdapat banyak cara untuk melaksanakan pengesanan piksel CMOS menggunakan mod akumulasi. Pelaksanaan penginderaan piksel aktif yang paling mudah ialah 3T-APS dilaksanakan dalam projek ini. Angin voltan yang diperoleh dari 1 piksel 3T-APS ini ialah 2.66V.

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DESIGN AND ANALYSIS OF CMOS IMAGE SENSOR

ABSTRACT

This project presents a chip designed for the purpose of evaluating the design method in implementing a CMOS Image Sensor Technology (CIS) for Active Pixel Sensor (APS) based vision applications. For this purpose, the possible ways of implementing pixel array sensors and readout related circuit with standard CMOS technology using commercially available 0.18 μm CMOS processes with both p-well and n-well implementations were explored. This is to ensure that our image sensors applicable for many applications. Towards this aim, this research CIS technology have to improve its characteristics such as sensitivity, dark current and noise that are strongly layout dependent. This chip includes a set of pixel architectures where different parameters have been modified, layout of active diffusion and threshold voltage of the source follower transistor. This CMOS imager only has 1 pixel, but that can be improved by changing the scan logic because the size of this pixel array is a metric that gives an indication of the performance image sensor where it is expressed as a megapixel. There are many ways to implement CMOS pixel sensing using accumulation mode. The simplest active pixel sensing implementation is 3T-APS is implemented in this project. The voltage swing obtained from 1 pixel of this 3T-APS is 2.66V.

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1 CHAPTER 1

INTRODUCTION

1.1 Background

Complementary metal-oxide semiconductor (CMOS) is a mainstream technology that offers many advantages for digital, analog and mixed-signal application. CMOS has been experiencing a rapid growth that is driven by some huge markets, including CPUs, solid-state memories, ASIC, general-purpose logic integrated circuits and now image sensors[1,2].

The evolution of image sensors started with the invention of Charge Coupled Devices (CCDs) in 1969 at the Bell Labs by Drs. Willard Boyle and George Smith[3] and then Complementary Metal-Oxide Semiconductor (CMOS) was introduced around1970s. However, the use of CMOS technology in the development of image sensors has only begun to be known in early 90s when it is finally suggested. From time to time the performance of CMOS image sensor improved significantly and is more acceptable in most applications.

The first generation of CMOS image sensor was passive pixel CMOS arrays, before CMOS APS (Active Pixel Sensors) was introduced. CMOS APS have shown better performance and flexibility in imaging application compared to the previous technology of the image sensors.

However, there must be the improvement on this CMOS APS in order to strongly compete with the others technologies that researchers need to work on. Therefore, there have been several reports on improving the fill–factor (FF) with low power consumption, low voltage operation, low noise, high speed imaging and high dynamic range[4].

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2 1.2 Problem Statement

Before the existence of CMOS image sensors (CIS), Charge-coupled devices (CCDs) have traditionally been the dominant image-sensor technology. In the last decade, design of image sensors implemented in complementary metal-oxide semiconductor (CMOS), Active Pixel Sensor (APS) of CMOS, has emerged as a potential replacement to CCDs. This trend is driven by the[5] increasing demand on larger pixel numbers, better quality, low power, low cost and the ability to integrate different functions in CMOS sensors, unlike CMOS image sensors, CCD cannot be monolithically integrated with analog read out and digital control electronics[6].

The early-stage CMOS image sensors did not compare favorably with that of CCD image sensor due some factors like CMOS’s high dark current in the photodiode and high readout noise. Thus, in order to reach compatible result with CCDs, many designs and techniques have been proposed by researcher to overcome the disadvantages of the existing CMOS image sensor.

Adding chip or feature level new features designing for more application specific constraints, reducing the noise and increasing the sensitivity are some of the achievement of the proposed designs, APS design with 3 or 4 number of transistors have been the ones that are used most due to their simplicity and low area head. However, the APS design suffer from the analog limitation since the output of each pixel value is represented by analog voltage signal and required column or chip level ADC.

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3 1.3 Objectives

The objectives of this project are:

1. To study the method of designing a CMOS image sensor (CIS) and to analyse the sensor.

2. To design the pixel circuit for the CMOS image sensor and improve the performance of the previous technology.

1.4 Project Scope

In this project, some possible ways of designing low-cost imaging system are investigated by implementing CMOS active pixel sensor (APS). APS are sensors that implement a buffer per pixel.This APS consists of 2-D matrix of pixel, two addressing decoders for pixel selection by row and column, one decoder for reset of whole column, 1-D array of row switches and readout circuits, and analog buffers[7]. The APS have three different designs that are based on nMOS transistor, pMOS transistors, and both nMOS and pMOS transistors. Each pixel employs one photodiode and three transistors.

Basically, there are three major approaches in order to design a CMOS imager;

architecture design, layout design and design verification. The LAyout System for Individuals, LASI is used as a PC based integrated circuit design tool. It is versatile enough that it can be used for ICs, MEMS, discrete devices, schematics, PC boards and project documentation drawings[8]. In the LASI system, complex IC designs are made from simpler object cells. A cell might be a logic gate or an op-amp. Each cell is assigned a name and a rank.

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For CMOS image sensor design and performance prediction, it is necessary to verify the layout of the circuit matches the schematic of IC. Simulation Program with Integrated Circuit Emphasis(SPICE) is a general-purpose, open source analog electronic circuit simulator and PSpice is a PC version of SPICE .PSpice has analog and digital libraries of standard components (such as NAND, NOR, flip-flops, and other digital gates, op amps, etc) which makes it a useful tool for a wide range of analog and digital applications. It is a program used in integrated circuit and board-level design to check the integrity of circuit designs and to predict circuit behavior.

1.5 Thesis Outline

Overall, this thesis report consists of five main chapters that cover the full details from introduction to conclusion of this research project. The first chapter is the introduction of this research project.

Chapter 2 is the literature review of CMOS image sensor. This chapter begins with the background of image sensor and includes the introduction of different types of image sensors which are Charge-coupled devices (CCDs) and Complementary Metal-Oxide Semiconductor (CMOS). Furthermore, different CMOS pixel sensor and techniques that are compatible with the standard CMOS image sensor (CIS) to with their advantages and disadvantages of each technique used are also presented.

In Chapter 3, the methodology for development of this research project is explained in detail. It includes the project implementation flow, circuit design architecture and the simulation tools for both pre-layout and post-layout design. The chip includes different standard CMOS process compatible photodiode and pixels are also explained in this chapter. Within this chapter,

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the layout design of this chip, which is specific to n-well 0.18µm standard CMOS process is represented.

In chapter 4, the results and discussion for this research project is presented.it discussed about suing reference design as starting platform and simulation for developed modules.

Moreover, the performance analysis of this research project also presented in this chapter.

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6 CHAPTER 2

LITERATURE REVIEW

2.1 Overview

The research on designing a CMOS image sensor (CIS) is a very wide scope of study.

First, this chapter provides the background of CMOS image sensor (CIS) and a brief discussion of this CIS feature. The next section reviews about related works in CMOS imager which have been done by previous researchers. In section 2.4, the comparison between CMOS imager and CCDs are discussed. Then, the operation principle and fundamental of characteristics of photo- detector are described in section 2.5. The design of CMOS compatible photodiodes also included for this CIS. In section 2.6, different CMOS pixel sensor circuits and techniques that are compatible with standard CMOS process are discussed by explaining both pixel structure, active pixel sensor (APS) and passive pixel structure (PPS). In Section 2.7, different design of Active Pixel Sensor (3T-APS) is presented. Next, peripheral blocks other than pixels are described in Section 2.8. Addressing and readout circuits are also mentioned in this section. Next, the overall configuration of CIS is covered in Section 2.9. Lastly, a summary for this chapter is provided in Section 2.10.

2.2 Background of Imaging Sensor

The history of Complementary Metal-Oxide Semiconductor (CMOS) image sensor (CIS) begins with solid-state imagers used as replacement for image tubes. There are four important for solid-state image sensors: light detection, accumulation of photo-generated signals, switching from accumulation to readout and scanning.

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Morrison at Honeywell proposed the scanning function in X-Y addressed silicon-junction photo sensing devices as the “photoscanner” in the early 1960s[9]. Weimer et al. proposed solid- state image sensors with scanning circuit using thin-film transistors[10]. The photoconductive film is used for the photo detector in these devices. The accumulation mode in a photodiode was first proposed by Weckler[10] at Fairchild Semiconductor used the floating source of a metal- oxide semiconductor field effect transistor as a photodiode. Moreover, Weckler also fabricated and demonstrated a 100 x 100-pixel image sensor by using structure[11].

The imaging area consists of an array of pixel, vertical and horizontal access circuitry and readout circuitry. The architecture of a CIS is as shown in Figure 2.1.

Figure 2.1: Architecture of a CMOS image sensor[6].

The imaging area is a two-dimensional array of pixels; each pixel contains a photo- detector and some transistors. This area is the heart of an image sensor and the imaging quality is largely determined by the performance of this area. Access circuitry is used to access a pixel and

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read the signal value in the pixel. Usually a scanner or shift register is used for the purpose, and a decoder is used to access pixels randomly. A readout circuit is a one-dimensional array of switches and a sample and hold (S/H) circuit. Noise cancel circuits, such as correlated double sampling (CDS), are employed in this area[12].

2.3 Related Works

There are numerous studies have attempted to explain about the implementation of a CMOS image sensor (CIS) that can be used to design a CMOS image sensor (CIS).

Beatriz Blanco-Filgueira et al.[13]. In this work, the peripheral contribution to the total pixel photo-response in a 0.18µm CMOS technology was studied using test structures and device simulation. Experimental data was used to fit a semi-analytical model revealing a trade-off between photodiode main area and perimeter in the overall pixel photo-response.

Vargas-Sierra et al.[14] proposed a chip designed for the purpose of evaluating different design alternatives in a 0.18 μm CMOS Image Sensor Technology (CIS) for Active Pixel Sensor (APS) based vision applications. It has been found that round-like pixels have better sensitivity than octagonal-like ones. Besides, source follower transistors with low Vth expand the range of output voltages with no negative effect.

2.4 Comparison between CMOS image sensor and CCDs

In this section, the comparison between CMOS image sensor (CIS) and CCDs will be discussed. The imaging sensor is mainly classified into two types; Charge Coupled Devices

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(CCDs) and CMOS image sensor. Both CCD and CMOS image sensors depend on the photoelectric effect to create electrical signal from light and the principle of converting light into charge is almost the same as CCD in CMOS image sensor, just the read out scheme is different.

A CCD sensor converts pixel measurements sequentially using circuitry surrounding the sensor. Only a single amplifier is used for all of the pixels in CCD image sensor as shown in Figure 2.2 The CCD transfer the signal charge to the end of the output signal line and converts it into a voltage signal through this single amplifier[12]. While, CMOS sensors convert pixel measurements simultaneously, using circuitry on the sensor itself and it use separate amplifiers for each pixel as shown in Figure 2.3. The parallel outputs that CMOS imagers could offer, give advantages for high speed imaging means it is possible to acquire the images in very short period of time. The parallel outputs that CMOS imagers could offer, give advantages for high speed imaging means it is possible to acquire the images in very short period of time. Other than that, because of active pixels and ADC are on the same chip that exists in CMOS image sensors, it offer faster images processing for the sensor. This is why CMOS image sensors are preferable in high speed imaging and have received much attention over lately, because their performance is very promising compared to CCD image sensors.

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Figure 2.2: Readout architectures of interline transfer CCD[1]

Figure 2.3: Readout architectures of interline transfer CMOS image sensor[1]

2.5 Fundamental of characteristics of photo-detector

The most common type of photo-detector used in CMOS imager technology is P-N junction photodiode (PD), also known as n+/p-well and n-well (NW)/p-type substrate (SUB)

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junction is commonly used for photodiode information. However, since 0.18 μm CMOS processes will be implemented for this research project, an NW/PSUB junction is the most suitable PN photodiode structure for processes below 0.35 ~ 0.5 µm. A profile diagram of a pixel cell is shown in Figure 2.4. The "photo area" is simply a large area of source or drain N diffusion.

Figure 2.4: Profile diagram of PN photodiode structure

Visible light is absorbed in the silicon below the photo area. This creates free electron- hole pairs which usually will recombine after a few microseconds. Depth of light absorption is also highly dependent on wavelength. Most of the visible spectrum is absorbed in a micron or two of silicon. The depletion region in the P substrate is also a micron or so wide for normal doping levels. Free carriers, holes and electrons, generated in the depletion are rapidly swept out of the depletion by the built-in E field. This is considered "fast" photo current.

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Under the P substrate there can be either more P doping or a reverse biased P-N junction.

If the pixel cells are small in relation to the absorption depth, we might have to put a reverse biased junction under the region to prevent image leakage from pixel to pixel.

When light strikes the photodiode, the pixel will sensing the incident light and generating the charge signal to be converting the light into measurable voltage. After a certain time of exposure, the signal (voltage) in the pixel is readout and then CDS operation is performed by column electronics after all pixels of the selected row have been reset and read out.

2.6 CMOS pixel sensor circuits and techniques

Basically, there are two types of pixel structures that have been developed since CMOS image sensor was introduced. These two types of pixel structures are passive pixel structure (PPS) and active pixel structure (APS). Historically, PPS came into existence earlier than APS.

APS were developed with the purpose to enhance the image quality from previous technology.

The biggest difference between APS and PPS is the difference in the number of transistors. PPS consists of only one transistor in a pixel, in contrast to APS with 3 transistors in each pixel or known as 3T-APS. Shortly after 3T-APS, APS that has four transistors in a pixel, the so-called 4T-APS, has been developed to improve the image quality. It has been proven that 4T-APS has improved image quality, but has to undergo a very complex fabrication process compared to conventional 3T-APS.

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13 2.6.1 Passive Pixel Sensor (PPS)

PPS was developed as the first CMOS imager before APS was emerged before this PPS developed was halted due signal-to-noise ratio (SNR) that appears in PPS. Thestructure of PPS is very simple: a pixel only consists of a photodiode and a transistor in order to connect it to readout structure as shown in Figure 2.5.

Because of its simple structure, a PPS has a large fill factor (FF), the ratio of the PD area to the pixel area[3, 12]. For an image sensor, a large fill factor (FF) is preferable compared to small FF. In spite of the large fill factor, the output signal degrades easily. Other than that, this PPS also suffer from low sensitivity and high noise due to the large column’s capacitance (large column FPN) with respect to the pixel’s one. Furthermore, this scheme also contain large kBTC noise, the thermal noise and large smear, which is a ghost signal appearing as vertical stripes without any signal.

Figure 2.5: A photodiode-type PPS schematic[4].

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14 2.6.2 Active Pixel Sensor, 3T-APS

The APS is named after its active element which amplifies the signal in each pixel[3, 12], as shown in Figure 2.6. By introducing amplification at a pixel, the performance of the pixel will be improved. The conventional APS pixel configuration is called 3T-APS since it consists of 3- transistors and one photodiode (PD) in each pixel.

Figure 2.6: Basic pixel circuits of a 3T-APS[12].

The three transistors in each pixel are called as reset transistor , source follower transistor and select transistor . The transistor acts as a reset transistor, where it reset the junction capacitance of the photodiode (PD). Transistor operates as a source follower that converts the accumulated charges at PD to voltage at its gate. Thus the output voltage follows the PD voltage. While, in PPS the accumulated charges are straightly to the outside of a pixel. Finally, the transistor acts as an analog selection switch after the signal is transferred to a horizontal output line through this . Meanwhile, the accumulated charges at PD are not destroyed, which make it possible to read the signal multiple times.

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Even though APS was believed can overcome some flaws that existed in PPS especially SNR and power dissipation is minimal compared to CCDs, 3T-APS however has issues that should be addressed. Firstly, this 3T-APS suffer from the difficulty to suppress kBTC noise caused by the reset transistor. Secondly, this conventional APS faced the problem of having the photo-detection region and photo-conversion region at the same node that is the PD which causes the photodiode design is constrained.

2.6.3 Active pixel sensor, 4T-APS

4T-APS was developed to alleviate the issues with 3T-APS with only one additional transistor which is called transfer gate transistor .this additional transistor, acts to separate the photo-detection and photo-conversion regions by transferring the accumulated photo-generated carriers in photodiode (PD) to floating diffusion (FD) where the carriers are converted to a voltage. Figure 2.7 shows the pixel structure of the 4T-APS. The separation of these two regions allows the noise reduction that cannot be achieved by conventional APS, 3T- APS. This technique is called Correlated Double Sampling (CDS) method, which this technique not only could eliminates the kBTC noise but allow could reduce the fixed pattern noise (FPN).

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Figure 2.7: Pixel structure of the 4T-APS[12].

By this CDS operation, 4T-APS achieves low noise operation and thus could beat the performances of CCDs. It is noted that in the 4T-APS the accumulated charge must be transferred completely from the PD node to FD node. The incomplete charge transfer may affect the performance of the device and may cause image lag and noise as illustrates in Figure 2.8.

This is where Pinned Photodiode (PPD) is required to ensure the complete transfer of the accumulated charge to the FD through the transfer gate.

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Figure 2.8: Incomplete charge transfer in a 4T-APS[12].

Even though 4T-APS surprassed 3T-APS in its low level noise, still there are several issues with 4T-APS, in addition to image lag that may occur when incomplete transfer of accumulated charge into FD. Those issues are additional transistor reduces the fill factor (FF) compared with 3T-APS and it is difficult to establish fabrication process parameters for the PPD, transfer gate, FD, reset transistor, and other units, for low and low image lag performance. Thus, for this research project, the conventional pixel, 3T-APS is chosen to be implemented for this CMOS image sensor (CIS) project.

2.6.4 Comparison Between Pixel Architecture

In this section, the comparison of three types pixel structure PPS, 3T-APS and 4T-APS are summarized in Table 2.1. Each pixel structure has their own strength and weakness in

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different aspect with the others pixel structure. From that we could find the most suitable pixel structure for our devices depends on the purpose of the devices.

Table 2.1: Comparison of three types pixel structure PPS, 3T-APS and 4T-APS[3]

PPS 3T-APS 4T-APS

Sensitivity Depends on the performance of a charge amp

Good Good

Area consumption Excellent Good Fairly good

Noise Fairly good Fairly Good Excellent

Dark current Good Good Excellent

Image lag Fairly good Good Fairly good

Process Standard Standard Special

Note Very few

commercialized

Widely

commercialized

Widely

commercialized

2.7 Different Design of Active Pixel Sensor (3T-APS)

In general, design of CMOS image sensor (CIS) for this research project is based on the concept of active pixel sensor with three number transistors in a pixel with one photodiode, 3T- APS. 3T-APS are sensors that implement a buffer or amplifier per pixel. This APS consists of 2- D matrix of pixel, two addressing decoders for pixel selection by row and column, one decoder for reset of whole column, 1-D array of row switches and readout circuits, and analog buffers

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[6]. The APS have three different design that are based on (a) nMOS transistor, (b) pMOS transistors, and (c) both nMOS and pMOS transistor as in Figure 2.9.

Each pixel employs one photodiode and three transistors. Photodiode is used to converts light into an electrical current and three transistors that operates as source-follower (M1), performs the reset of photodiode (M4) and operates as an analog selection switch (M2). Each transistor must perform their operation synchronously. This is important for image acquisition of very fast moving objects which requires both synchronous integration and low integration times, in order to avoid blur effects. For my design, the 3T-APS that based on nMOS transistors is chosen.

(a)

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20 (b)

(c)

Figure 2.9: Different designs of APS based on (a) nMOS transistors, (b) pMOS transistors, and (c) both nMOS and pMOS transistors[7].

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21 2.8 Sensor Peripherals

2.8.1 Addressing

A decoder or a scanner is used to address each pixel in a CMOS image sensor (CIS). A signal is obtained by scanning the pixel array with both row (vertical) and column (horizontal) scanner. There are two types of scanner that are commonly used to scan these pixels in CMMOS image sensor. These two scanners are shift register and decoder. For this research project, shift register is preferable since it has simple configuration compared to decoder. Other than has simple configuration, this shift register also has low flip noise generation and flexible readout.

But decoder has greater scanning flexibility in compared to shift register.

Since in this CMOS imager, we just want to access the horizontal and vertical pixels, a shift register is enough to access both sides of pixel. Only a decoder is required, which is a combination of logic gates when it is involved of arbitrary pixel. A decoder arbitrarily converts N input data to output data using customized random logic circuits [2]. A typical scanner and decoder are shown in Figure 2.10 below.

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Figure 2.10: Addressing methods for CMOS image sensors: (a) sensor architecture, (b) scanner, (c) decoder[12].

2.9 Overall Architecture of CMOS Image Sensor

The first step is to design the circuits that are compatible for our project. We have to look for and do research on which would use in designing the circuits of CMOS imager. There are several topologies in designing the CMOS image sensor depending on their purposes. However, the main architecture of this CMOS imager can be divided into several main blocks as Figure 2.11 shows. Each block has its own functionalities and contributions for our circuit design as stated Table 1.3 with some additional blocks that do not shown in Figure 2.11.

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Figure 2.11: CMOS image sensor floor-plan [4]

Table 2.2: The function of on chip blocks of CMOS architecture

Module Function

Timing and control The overall control module provides the whole chip with proper time sequence

Pixel Array Sensing the incident light and generating the charge signal

Column Selector Shift register with buffers that selects the column of the Pixel Array to read or known as column scanner.

Row Selector Shift register with buffers that drives the row logic of the Row Reader ADC Convert the pixel output analog signal to the digital signal

CPU & Memory Stores the digital data outing of the processor

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24 2.10 Summary

This chapter introduces the background of imaging sensor. Several research works is also being review in this chapter. The review of theoretical concepts that are related to this project are also provided in this chapter in order understand the project. Furthermore, this chapter also reviews several techniques used to detect the light based on previous works.

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CHAPTER 3

METHODOLOGY

This chapter describes the methodology of this study. Besides, this chapter also presents and discusses the circuit design of CMOS image sensor used in this study. The CMOS image sensor circuit design process consists of defining circuit inputs and outputs, circuit simulations, layout of the circuit and testing. Therefore, this chapter describes all this steps in detailed and introduces the software that involved in this process like LASI and ORCAD PSpice software.

3.1 Research Methodology

The aim of this project is to design a CMOS image sensor that will detect the light incident on it and convert the image into analog voltages based on the concept of active pixel sensors (APS).

In order to achieve the purpose of this work, the following several steps have been done. Each of the steps is discussed below:

I. Literature Review

The work has been started with literature review which discussed in Chapter 2. Since this study is all about designing a CMOS image sensor (CIS), the part that has been reviewed is the pixel structure of CMOS photodiode and The characteristics of the output waveform in voltage mode photodiode active pixel sensor are presented.

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26 II. Circuit Design and Simulation

Design and simulation results for photodiode active pixel sensor are extracted using OrCAD PSpice Designer. Firstly, a circuit that consisted of sub-array of 1 pixel of a 3T CMOS image sensor was designed. In this study, the standard three transistor active pixel sensor 3T-APS is modified and enhanced in order to optimize the performance of pixel circuit. This circuit is then modified to build a pixel circuit that contains of 4 pixels that belong to 4 different rows of the same column of a CIS. Two types of pre-layout simulation which are DC response and transient response were done in Analog Design Environment(ADE) using PSPICE simulator. With the help of ADE, the maximum photocurrent, the non-linearity related with the depletion capacitance of the photodiode and timing issues related with the readout of a matrix of pixel were able be evaluated from the simulation of the pre-layout circuit.

III. Layout Design and Post Layout Simulation

In this study, only layout for the proposed CMOS image sensor(CIS) with 3T-APS has been done. The layout was designed using LASI 7(LAyout System for Individuals) of 0.18µm CMOS technology. From this layout design, the transient response has been simulated in order to evaluate this circuit.

LasiCkt (pronounced LASI CIRCUIT) is a graphical compiler utility that can analyze drawings made using LASI and write Spice circuit (.CIR) files, sometimes called netlists.

LasiCkt can do "layout capture" and "schematic capture". Instead of having to manually writing a circuit file, LasiCkt takes an IC layout or schematic, and compiles a circuit file which can be run on Spice. The result is then a Spice simulation directly from LASI.

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27

LasiCkt is not a circuit simulator. Thus, we must have our own Spice program, and must have our own Spice device models. Although it produces Spice code from drawings, LasiCkt does not know much about a particular IC process technology. The electrical parameters of a particular process are left to Spice device models. Therefore, this is where the WinSpice program is needed.

IV. Conclusion and Recommendation

The finding of this study has been concluded in the last part of this study as well as the recommendation for future works.

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The methodology of this study is summarized in the flow chart in Figure 3.1

Figure 3.1: Methodology flow chart Start

Researching and analysing related works

Designing the CMOS Active Pixel Sensor circuit

Simulating Transient Response and record the result

Does the circuit meet specs?

YES Layout

Re-simulate the layout

End NO

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29 3.2 Circuit Design

Design and simulation results for photodiode active pixel sensor are extracted using OrCAD PSpice Designer. The imager is intended for a 0.18µm CMOS process. The operating voltage supply of 3.3V is used for the whole design of this photodiode 3T-APS that made up of a photodiode and three NMOS transistors which are Reset transistor, source follower transistor, and row select transistor.

The readout method is based on the rolling shutter architecture as shown in Figure 3.2.

Figure 3.2: Rolling shutter readout method[15].

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3.2.1 Design of Photodiode Active Pixel Sensor 3T-APS

Figure 3.3 shows the schematic view of a photodiode. Photodiode is the sensing element that converts light intensity into the electrical current when this device is exposed to light, with the help of its sensing node. For designing the photodiode, an exponential variation of current source I1 (shown in Fig 3.3) is used which follows the similar behavior as photodiode and capacitor C1 is used for storing the charge.

Figure 3.3: Schematic view of photodiode Figure 3.4: Schematic view of Reset Transistor

Reset transistor M1 in Figure 3.4 performs the reset of photodiode. When the reset transistor is on, the charge of the photodiode is stored after the light hits its surface and when it is off, the conversion of charge to voltage takes place.

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Figure 3.5: Schematic view of Row Select Transistor

The transmission of charges in voltage by the capacitance of the photodiode takes place at the detecting node. Design of the photodiode in the schematic shown in Figure 3.5 is represented with a current source and capacitance of the diode. Source follower transistor M2 behaves like a buffer amplifier to separate the charge of the sensing node. Source follower transistor M2 is an active current source load carrier which is placed on each column of the APS array to avoid pixel to pixel variation as in Figure 3.5.The output of this transistor is read out to the correlated double sampling (CDS) circuit by enabling the row select transistor. M3 is the row select transistor. It operates like a pass transistor. The data will be read out when the row select transistor M3 is activated. It is shared by all pixels in the array on the same row and the data of one pixel at a time from a single row is selected. In addition to the three transistor and photodiode circuits, the biasing circuit in pixels is also required for the APS photodiode to function as it provides a constant current sink to the source follower transistor thus keeping it in

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saturation region as desired. The biasing current source is used to model circuit the biasing circuit and it is shared by all pixels in one column which means one column only needs one biasing circuit.

Table 3.1: Input parameters scaling of photodiode APS

Parameters 0.18µm CMOS Technology

Input Voltage 3.3V

VDD 3.3V

Currentphotodiode, Ip (0µ-10µ)A

Capacitancediode, CPD 1pF

Currentbias, Ib 2µA

3.3 Layout Design

Figure 3.6 shows the layout of the proposed 3T-APS CMOS imager. The area is not constraint in this study. The overall size of the proposed 3T-APS layout is 7.5µ 7.5µ. The pixel array which consists of 3 transistors has been connected with normal conductors METAL1 and METAL2. Connector Text can be placed in cells on conductors at any cell level, as long as the conductor can be seen in a lower cell. Several stages are needed through this layout by using LASI. The first stage is to use LasiCkt the Spice compiler program followed by LasiMx the auto- router program are used. LasiMx uses the NOD file created by LasiCkt from the schematics to add interconnection buses to the layout. The NOD file is just a list of interconnections that

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resembles a 2-D matrix (hence Mx). In order to work correctly, the subcircuits of schematic and layout must correspond and have their connections numbered the same.

LasiCkt takes an IC layout or schematic, and compiles a circuit file which can be run on Spice. The result is then a Spice simulation directly from LASI. LasiCkt is not a circuit simulator, so that a Spice program is required in order to simulate the layout design. Therefore, this is where the WinSpice program is needed.

Figure 3.6: Layout structure of 1 pixel photodiode APS

Photodiode Output

M3 M2 M1

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The large blue dotted area is the photodiode in Figure 3.6. It is heavily doped N (source, drain) defined by NSELECT over ACTIVE, and is just N on the surface of the P substrate. This is a photodiode that collects free electrons created by light being absorbed in the P substrate. The free electrons either recombine in the substrate or flow over the N/P barrier to become photo current. This photo current biases the NMOS M1 source negative to the gate and drain.

M2 is a source follower transistor that buffers the photodiode node. M3 is a row select transistor acts like a pass transistor. When the row select transistor is enabled, the data will be read out. M1 and M2 are long gate transistors for better matching pixel to pixel. From the layout, in each pixel array, a ground substrate connection is located in the lower right corner as shown in Figure 3.6.

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35 3.4 Summary

The methodology of this study has been discussed in this chapter. There are four stages that have been through in order to complete this study. This study has started with literature review followed by circuit design, layout design and lastly conclusion and recommendation. In this chapter also, schematic of the circuits as well as the operation of these circuits have been presented and discussed. Lastly, the layout of proposed design of CIS is presented and explained.

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36 CHAPTER 4

RESULT AND DISCUSSION

This chapter presents the result from pre-layout simulation as well as discussion of the result.

This chapter also presents the characteristics and performances of photodiode APS. The current problems associated with photodiode APS optimization are also discussed in this chapter. Then, this chapter presents the post-simulation results of proposed photodiode APS design.

4.1 Pre-layout Simulation

The design of pixel in CMOS image sensor can be treated as a circuit consisting of photodiode, a photodiode reset switch, signal amplification, and the output circuit[2]. The signal amplification capability this pixel cause them to be called as active pixels. Photodiode active pixel sensor operation is divided into three stages which are starting with reset stage, integration stage and ending with the read out stage. During the reset stage, the reset transistor is turned ON at the positive pulse of the waveform as detecting node is initialized. The charge on the photodiode is reset by switching the reset transistor. Resetting the voltage is the reading as a reference voltage to one sample-and-hold in correlated double sampling (CDS) as demonstrated in the APS architecture. The CDS circuit is required to reduce the value of the signal's pixel from the set value to prevent the fixed patterned noise caused by the pixel-pixel variation.

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Figure 4.1:Design schematic of photodiode active pixel sensor 3T-APS.

It is then followed by the integration mode immediately after the reset transistor is turned off. In this stage, the photocurrent collected by the photodiode after the incident light hits its surface is accumulated by discharging the detecting node. The capacitance of the photodiode discharges through a constant time at rate proportional to the light intensity. Since the photocurrent produced through photodiode is in Pico ampere range, the charge on the current source is varied from 1pA to 100pA[16]. The charges on the photodiode are integrated into the source follower transistors within the time period on the conversion of the charge to voltage takes place. After the integration period ends, the final signal pixel value is read out by CDS circuit and stored at the column level.

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The PSpice simulator is used to simulate a design circuit consisting of an NMOS with a current source connected between the source and ground, the substrate connected to ground, and the gate and drain connected to . The current source is swept to while the gate is held at and voltage threshold, in the model. The graph in Figure 4.2 shows with swept from to

Figure 4.2: DC analysis of current source and voltage

At where – conduction begins. As increases drops, but it is non-linear. This causes compression of the image, a desirable characteristic. If the sweep is extended from 0 to 100uA and plot exp(Vd-Vs-Vthn) vs Ip the linear graph between and voltage graph can be seen which does not explored in this project. Linear relationship between and voltage applied can be seen from the Ohm’s Law,

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The output in the pixel can be readout in either voltage or current modes, however, most of the photodiode APS are readout in voltage mode. Voltage mode APS have demonstrated good performance, and low noise levels. The current mode APS did not show good results for fast readout conditions[16]. However, current mode APS produces less noise compared to voltage mode APS but they are not yet explored. The simulation results are shown in voltage mode APS.

Figure 4.3 illustrates the waveform of the operation cycle of pixel sensor the result of photodiode Active Pixel Sensor obtained from this project.

From output waveform, it can be observed that there is a voltage drop during the integration stage and it is divided into three stages within its operation cycle; 1) To begin, the reset switch is closed. The photodiode is in reverse bias, and Vs= VDD. 2) The reset switch opens, follow by the shutter and Vs starts to drop. This stage also called as the integration stage where the photosensor response occurs. 3) Read switch opens, and then reset switch closes. Circuit returns to initial state[17].

For the single image, it only involved one cycle of operation in order to determine the light intensity of the pixel. While, for a series of images such as video recording, the operation cycle can be repeated continuously to measure the light intensity of the pixel. During the integration stage, it can be observed that there are voltage drops which can be described by the following differential equation,

(4.1)

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Figure 4.3: Output waveform for Reset Transistor, Source Follower Transistor and Row Select Transistor

Figure 4.3 shows the simulation result at the gate and source of the reset transistor. The green color shows pulse obtained from the source of the reset transistor which is at a maximum voltage of having a pulse width of and period of . The red color shows the pulse obtained from output voltage of source of the source follower transistor. The pulse is being decremented by and is at a maximum voltage of . The pulse width remains the same and the pulse gets decreased exponentially due to the discharging of capacitor with time.

The process will repeated when the capacitor gets discharged until the charge is over and prepared for the next clock pulse where the charge gets again accumulated in the capacitor.

The blue graph shows the output voltage of source of row select transistor, The pulse is again decremented by and has a maximum voltage of . APS operates in a linear

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region before the source follower transistor is discharged. The dynamic range of the active pixel sensor depends on the biasing circuit.

4.1.1 APS Single Pixel Parametric Analysis

A parametric analysis is performed with different values of photo current, Ip ranging from 1pA till . In case of 3T Active Pixel Sensor, the photo-generated charge carriers are collected at photodiode capacitance and convert to voltage on the same node. The converted voltage is transferred to the output terminal via source follower and row select transistor. Thus, the key here is how the value of collected charge in photodiode capacitance affects the performance of a CMOS image sensor with the output voltage of photodiode APS relies on charge-voltage conversion gain and voltage swing. This also showed that photodiode capacitance in one pixel of APS circuit acts as a dominant capacitance among all the capacitance that might be used in a circuit. The photocurrent thus generated is proportional to the absorbed light intensity. The relationship between the accumulated charges in photodiode capacitance after the incident light hits this photodiode is determined by following expression:

(4.2) Where Q is the total photon generated charge and C is the total capacitance at the readout node.

From the Eq. (4.2) it defines that the charge to voltage conversion gain is inversely proportional to the total capacitance of the circuit. When the current source is increased (represents the total capacitance), the charge to voltage conversion gain will be decreased as illustrated from the

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gradient of the curve from Figure 4.4. From the graph, current source of 1pA has the lowest charge to voltage conversion gain while current source of 81pA has the highest charge to voltage conversion gain. Thus, the photodiode APS output is determined from the photon generated charge. The more photon charge is generated the larger will be the voltage swing at the output of photodiode APS.

Figure 4.4 shows simulation results of varying current source from a range of 1pA to 100pA. From the graph it can be tell that the voltage difference between the high and low photon generated charge is very less. Therefore, more voltages swing are required in order to characterize the photodiode active pixel sensor.

Figure 4.4: Single Pixel Parametric Analysis of Photocurrent

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43 4.2 Post-layout Simulation

Figure 4.5 shows the transient response of proposed 3T-APS CMOS image sensor from post layout simulation. Running LasiCkt on the 4x4 pixel array cell gives a Spice CIR file that when simulated produces an analog output at the node VidOut.

Figure 4.5: Transient response of proposed 3T-APS CMOS Layout

The output voltage obtained from the post-simulation is about 1.5V and the propagation delay also existed in this simulation as presented in Table 4.1. The result from post-layout simulation is dissimilar with the pre-layout simulation obtained in the previous test.

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Table 4.1: Characteristic of proposed 3T-APS

Characteristics Proposed 3T-APS

Output voltage 1.5V

Delay 0.7µs

The reasons for this mismatch result may be due to the presence of parasitic elements that exist in the design layout while in pre- layout simulation it is only carry out a functional verification of the design without including the parasitic. The basic parasitics that is, capacitances and resistances associated with the metal layers in a CMOS process could be the contribution factor for such a case like this happened.

.

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46 4.3 Summary

This chapter has presented the result from pre-layout and post-layout simulation. In the pre- layout simulation, the DC analysis of current source and input voltage run, parametric analysis of photocurrent is analyzed and the transient response of output voltages is observed. The characteristics of the output waveform in voltage mode photodiode active pixel sensor are also discussed. The post-layout simulation section only presented the result of output voltage for the proposed design of photodiode APS. The part of this chapter has presented the pre-layout simulation and post-layout simulation result with some discussion related to the purpose of this project.

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47 CHAPTER 5

CONCLUSION AND RECOMMENDATION

5.1 Conclusion

The purpose of this project is to study the method of designing a CMOS image sensor (CIS) to design the pixel circuit for the CMOS image sensor. A study on the method of designing a CMOS active pixel sensor in imaging system is presented in this thesis. The design of the most commonly used CMOS image sensor pixel, the photodiode 3T-APS is proposed and successfully designed with pre-layout and post-layout design. Here, the design of photodiode active pixel sensor using 0.18 µm CMOS process is already discussed together with simulated and calculated design values of it. It has been found that there is strong dependence of photocurrent of the photodiodes on the architecture of the image sensor. The maximum value of voltage swing was obtained for the architectures based on 3T-APS is 2.66V. However, the result obtained from pre- layout simulation is not corresponding with the result of post-layout simulation as the voltage swing measured post-layout designed id 1.5V compared to pre-layout design, I has voltage swing of 2.66V. Thus, it also found that the design of this project is not able to improve the performance of the previous technology of the CMOS image sensor(CIS).

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48 5.2 Recommendation

There are a few recommendations for the future improvement of this research project.

Firstly, a smaller CMOS technology should be used, the size of the pixel used in the array is 7.5μm x 7.5μm. In the future, the pixel size should be reduced, so that integration times are longer and the pixel can operate at higher light intensities. Besides that, the area of layout has not been optimized. By optimizing the layout, the parasitic can be minimized or at least reduce the effect of this parasitic during the simulation of post-layout.

In this thesis work, only photocurrent is set to the simulation parameter, later, more parameters should be considered, such as transistor size ( ) and process parameter. Based on this simulation methodology, the optimization method of meeting the image quality requirement and pixel size could be another perspective. The optimization could be able to meet the high level specification and requirement.

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REFERENCES

[1] A. El Gamal and H. Eltoukhy, “CMOS Image Sensors,” Circuits Devices Mag. IEEE, vol.

21, no. 3, pp. 6–20, 2005.

[2] J. Nakamura, IMAGE SENSORS and SIGNAL PROCESSING for DIGITAL. 2005.

[3] C. Polytechnique and R. D. E. Lausanne, “Design and Implementation of CMOS Image Sensors for Biomedical Applications,” vol. 6229, 2014.

[4] M. Bigas, E. Cabruja, J. Forest, and J. Salvi, “Review of CMOS image sensors,”

Microelectronics J., vol. 37, no. 5, pp. 433–451, 2006.

[5] S. U. Ay, M. Lesser, E. R. Fossum, M. Imaging, and N. L. R. Ave, “CMOS Active Pixel Sensor ( APS ) Imager for Scientific Applications,” Design, vol. 4836, pp. 271–278, 1999.

[6] E. R. Fossum, “CMOS Image Sensors: Electronic Camera On A Chip,” no. 3, pp. 17–25.

[7] I. Brouk, K. Alameh, and Y. Nemirovsky, “Design and characterization of CMOS/SOI image sensors,” IEEE Trans. Electron Devices, vol. 54, no. 3, pp. 468–475, 2007.

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[9] S. R. Morrison, “A new type of photosensitive junction device,” Solid State Electron., vol.

6, no. 5, pp. 485–494, 1963.

[10] G. P. Weckler, “Operation of p-n Junction Photodetectors in a Photon Flux Integrating Mode,” IEEE J. Solid-State Circuits, vol. 2, no. 3, pp. 65–73, 1967.

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[12] J. Ohta, “Smart CMOS Image Sensors and Applications,” p. 272, 2007.

[13] B. Blanco-Filgueira, P. López, D. Cabello, J. Ernst, H. Neubauer, and J. Hauer, “Modeling and simulation of CMOS APS,” Proc. 2009 Spanish Conf. Electron Devices, CDE’09, pp.

120–123, 2009.

[14] E. Roca, “APS Design Alternatives in 0 . 18 μ m CMOS Image Sensor Technology,” pp.

1–4, 2009.

[15] P. Minotti, “Cadence Virtuoso – Simulation of a pixel,” 2017.

[16] A. Palakodety, “CMOS Active Pixel Sensor for Digital Cameras: Current State-of-the- Art,” Simulation, pp. 1–62, 2007.

[17] A. H., M. C-K., and V. P., “CMOS Photodetectors,” Photodiodes - World Act. 2011, 2011.

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