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Two-step single slope/SAR ADC with error correction for CMOS image sensor.

Fang Tang1, Amine Bermak2, Abbes Amira3

  • 1College of Communication Engineering, Chongqing University (CQU), China.

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|March 4, 2014
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Summary
This summary is machine-generated.

This study introduces an 11-bit analog-to-digital converter (ADC) for CMOS image sensors, significantly reducing power consumption and chip area. The novel design enhances energy efficiency and reduces noise in image sensor applications.

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Area of Science:

  • Electrical Engineering
  • Integrated Circuit Design
  • Image Sensor Technology

Background:

  • Conventional two-step ADCs for CMOS image sensors demand high resolution in the first stage, leading to increased power and chip size.
  • This limitation hinders the development of more efficient and compact image sensors.

Purpose of the Study:

  • To present an 11-bit two-step ADC scheme combining single slope and successive approximation register (SAR) architectures.
  • To reduce power consumption and chip area in CMOS image sensor ADCs through a novel error correction algorithm.

Main Methods:

  • Implemented a two-step ADC with a 3-bit first-stage single slope ADC and a 1-bit redundant bit.
  • Utilized a proposed error correction algorithm to combine the redundant bit with an 8-bit SAR ADC output.
  • Fabricated the prototype ADC using 0.18 μm CMOS technology.

Main Results:

  • The first-stage single slope ADC tolerates up to 3.125% quantization noise, relaxing resolution requirements.
  • Achieved a chip area of 7 μm × 500 μm for the prototype ADC.
  • Demonstrated an energy efficiency figure-of-merit (FOM) of 125 pJ/sample and chip area efficiency of 84 k μm²·cycles/sample.

Conclusions:

  • The proposed two-step single slope/SAR ADC scheme effectively reduces power consumption and chip area in CMOS image sensors.
  • The novel error correction algorithm enables relaxed noise performance in the first stage, improving overall efficiency.
  • The design offers a promising solution for high-performance, low-power, and compact image sensor applications.