Research on photoelectric detection gain control system based on FPGA

Zuofeng Zhou; Hongjun Yang; Hao Liu

doi:10.1117/12.2655341

7 October 2022 Research on photoelectric detection gain control system based on FPGA

Zuofeng Zhou, Hongjun Yang, Hao Liu

Proceedings Volume 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022); 123440H (2022) https://doi.org/10.1117/12.2655341
Event: International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 2022, Zhuhai, China

Abstract

The light sensor chip generates different signals through different lighting, and is widely used in light sensors, digital cameras, etc. Therefore, it is very important to test the developed photosensitive chip. In the process of photoelectric detection, light signals of different intensities are faced, and the intensities of these light signals may vary greatly in magnitude over time. In this case, it requires our photoelectric detection system to have the characteristics of high sensitivity and fast response speed; the photoelectric detection system should also have high-precision gain changing ability, so that the optical signal acquisition can be better presented. Aiming at the above problems of photoelectric detection, this paper deeply studies the method of gain adjustment of photoelectric detection system, and designs and realizes the gain control system of photoelectric detection system based on FPGA. The experimental results show that the photoelectric detection gain control system can stably and accurately adjust the gain of the multi-channel photoelectric detection system, and can help the photoelectric detection system to detect plasma signals with different amplitudes and large magnitude gaps.

Citation Download Citation

Zuofeng Zhou, Hongjun Yang, and Hao Liu "Research on photoelectric detection gain control system based on FPGA", Proc. SPIE 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 123440H (7 October 2022); https://doi.org/10.1117/12.2655341

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