A micropower analog-to-digital converter and an algorithm for an interface system for an infrared imaging system

This project is part of an on-going research collaboration between MIT and NTU on the development of a novel imaging system – a Multispectral Infrared Detector Arrays (MIDAS) on Read-Out Integrated Circuit (ROIC). The project pertains to a design of a novel micropower monolithic 12-bit Successive...

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Bibliographic Details
Main Author: Huang, Li.
Other Authors: Chang, Joseph Sylvester
Format: Final Year Project (FYP)
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/17912
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author Huang, Li.
author2 Chang, Joseph Sylvester
author_facet Chang, Joseph Sylvester
Huang, Li.
author_sort Huang, Li.
collection NTU
description This project is part of an on-going research collaboration between MIT and NTU on the development of a novel imaging system – a Multispectral Infrared Detector Arrays (MIDAS) on Read-Out Integrated Circuit (ROIC). The project pertains to a design of a novel micropower monolithic 12-bit Successive Approximation Register (SAR) Analog-to-Digital Converter (ADC) for ROIC and a realization of novel image reading algorithms for the interface between the MIDAS-on- ROIC and a display. Of specific interest, a micropower ADC that is integrated onto ROIC is a dominant factor for the design a low-power and low-noise image system. Moreover, the vertically stacked image sensors in MIDAS (against the conventional planar image sensors) require a set of completely new interface algorithms. In the SAR-ADC design, a novel hybrid technique of voltage scaling and capacitive matching is proposed to improve the matching of on-chip resistors and capacitors, hence achieving the 12-bit resolution without expensive post-fabrication process. Further, a highly sensitive and high speed micropower comparator together with a simple and effective SAR logic circuit is also proposed. On the basis of computer simulations, the proposed SAR-ADC can achieve ultra low power consumption in operation (188uW with 3.3V voltage supply). Layout of the proposed SAR-ADC is partially realized. A novel interface algorithm for vertically-stacked image sensor is realized in MATLAB on the basis of the standard gamma correction, resulting in a linear conversion interface between the MIDAS-on-ROIC and the display. The proposed MATLAB algorithms are suitable for both still image display and video display.
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spelling ntu-10356/179122023-07-07T16:43:43Z A micropower analog-to-digital converter and an algorithm for an interface system for an infrared imaging system Huang, Li. Chang, Joseph Sylvester School of Electrical and Electronic Engineering Centre for Integrated Circuits and Systems DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits This project is part of an on-going research collaboration between MIT and NTU on the development of a novel imaging system – a Multispectral Infrared Detector Arrays (MIDAS) on Read-Out Integrated Circuit (ROIC). The project pertains to a design of a novel micropower monolithic 12-bit Successive Approximation Register (SAR) Analog-to-Digital Converter (ADC) for ROIC and a realization of novel image reading algorithms for the interface between the MIDAS-on- ROIC and a display. Of specific interest, a micropower ADC that is integrated onto ROIC is a dominant factor for the design a low-power and low-noise image system. Moreover, the vertically stacked image sensors in MIDAS (against the conventional planar image sensors) require a set of completely new interface algorithms. In the SAR-ADC design, a novel hybrid technique of voltage scaling and capacitive matching is proposed to improve the matching of on-chip resistors and capacitors, hence achieving the 12-bit resolution without expensive post-fabrication process. Further, a highly sensitive and high speed micropower comparator together with a simple and effective SAR logic circuit is also proposed. On the basis of computer simulations, the proposed SAR-ADC can achieve ultra low power consumption in operation (188uW with 3.3V voltage supply). Layout of the proposed SAR-ADC is partially realized. A novel interface algorithm for vertically-stacked image sensor is realized in MATLAB on the basis of the standard gamma correction, resulting in a linear conversion interface between the MIDAS-on-ROIC and the display. The proposed MATLAB algorithms are suitable for both still image display and video display. Bachelor of Engineering 2009-06-17T09:16:58Z 2009-06-17T09:16:58Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/17912 en Nanyang Technological University 102 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits
Huang, Li.
A micropower analog-to-digital converter and an algorithm for an interface system for an infrared imaging system
title A micropower analog-to-digital converter and an algorithm for an interface system for an infrared imaging system
title_full A micropower analog-to-digital converter and an algorithm for an interface system for an infrared imaging system
title_fullStr A micropower analog-to-digital converter and an algorithm for an interface system for an infrared imaging system
title_full_unstemmed A micropower analog-to-digital converter and an algorithm for an interface system for an infrared imaging system
title_short A micropower analog-to-digital converter and an algorithm for an interface system for an infrared imaging system
title_sort micropower analog to digital converter and an algorithm for an interface system for an infrared imaging system
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits
url http://hdl.handle.net/10356/17912
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