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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Format: | Final Year Project |
Language: | English |
Published: |
2009
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Online Access: | http://hdl.handle.net/10356/17912 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | 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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