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A Low Power Digital Accumulation Technique for Digital-Domain CMOS TDI Image Sensor
Changwei Yu1, Kaiming Nie2, Jiangtao Xu3
1School of Electronic Information Engineering, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, China. yuchangwei@tju.edu.cn.
Sensors (Basel, Switzerland)
|September 27, 2016
Summary
A new accumulation technique for digital CMOS Time Delay Integration (TDI) image sensors reduces power consumption by using coarse-and-fine quantization. This method lowers power needs without impacting imaging speed.
Area of Science:
- Electrical Engineering
- Image Sensor Technology
- Low-Power Design
Background:
- Digital CMOS Time Delay Integration (TDI) image sensors are crucial for high-speed imaging.
- Reducing power consumption in these sensors is a significant challenge without compromising performance.
- Existing quantization methods can be power-intensive.
Purpose of the Study:
- To propose an accumulation technique for digital CMOS TDI image sensors to reduce power consumption.
- To maintain or improve imaging rate while decreasing energy usage.
- To address power demands associated with quantization in TDI sensors.
Main Methods:
- Developed a novel accumulation technique involving pixel array division for coarse and fine quantization.
- Implemented a 10-bit successive approximate register (SAR) analog-to-digital converter (ADC) based TDI sensor chain.
- Designed two versions of a 16-stage digital domain CMOS TDI image sensor chain in a 0.18 µm CMOS process: one with and one without the proposed technique.
Main Results:
- The proposed technique reduced average power consumption from 7.4 × 10⁻⁸ J/line to 6.47 × 10⁻⁸ J/line.
- Achieved a linearity of 99.99% with the new technique, compared to 99.74% without it.
- The technique effectively reduces the total required bit numbers for quantization.
Conclusions:
- The proposed accumulation technique offers a viable solution for reducing power consumption in digital CMOS TDI image sensors.
- This method successfully lowers energy usage without degrading imaging rates or linearity.
- The technique demonstrates significant power savings and improved linearity, making it suitable for advanced imaging applications.

