Optimization of single photon detection model based on GM-APD

Yu Chen; Yi Yang; Peiyu Hao

doi:10.1117/12.2293220

15 November 2017 Optimization of single photon detection model based on GM-APD

Yu Chen, Yi Yang, Peiyu Hao

Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 106050F (2017) https://doi.org/10.1117/12.2293220
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China

Abstract

One hundred kilometers high precision laser ranging hopes the detector has very strong detection ability for very weak light. At present, Geiger-Mode of Avalanche Photodiode has more use. It has high sensitivity and high photoelectric conversion efficiency. Selecting and designing the detector parameters according to the system index is of great importance to the improvement of photon detection efficiency. Design optimization requires a good model. In this paper, we research the existing Poisson distribution model, and consider the important detector parameters of dark count rate, dead time, quantum efficiency and so on. We improve the optimization of detection model, select the appropriate parameters to achieve optimal photon detection efficiency. The simulation is carried out by using Matlab and compared with the actual test results. The rationality of the model is verified. It has certain reference value in engineering applications.

Citation Download Citation

Yu Chen, Yi Yang, and Peiyu Hao "Optimization of single photon detection model based on GM-APD", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106050F (15 November 2017); https://doi.org/10.1117/12.2293220

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