Simulation and analysis of far-field single-photon response model in Geiger avalanche mode

Poisson distribution model is the basis of data analysis for GM-APD lidar, but it is only applicable to the mirror reflected target under ideal conditions, and cannot accurately describe the photon triggering process of actual GM-APD lidar detection. For the actual target with rough surface, the negative binomial distribution with M as the parameter can describe the photon distribution model more accurately. In order to solve this problem, this paper compares and analyzes Poisson distribution triggering model and the negative binomial distribution triggering model that conforms to the triggering situation of the echo signal of the target with rough surface, considering the differences in the triggering probability under different noise and signal levels. The results show that the trigger probability curve corresponding to the trigger model based on negative binomial distribution is lower in peak value, wider in bottom value and fatter overall than that of the trigger model based on Poisson distribution, and the difference between the two is more prominent under the conditions of low noise level and high signal level. This study has guiding significance for the signal extraction research based on different surface echoes.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1117/12.3033498
Primary Topic
Advanced Optical Sensing Technologies
Type
article
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Simulation and analysis of far-field single-photon response model in Geiger avalanche mode

Peng Jiang, Xin Zhou, Jianfeng Sun, Pengfei Wang et al.
Advanced Optical Sensing Technologies
article

Simulation and analysis of far-field single-photon response model in Geiger avalanche mode

Peng Jiang, Xin Zhou, Jianfeng Sun, Pengfei Wang, Jie Lü, Le Ma, Hengchang Ou
article en

Abstract

Poisson distribution model is the basis of data analysis for GM-APD lidar, but it is only applicable to the mirror reflected target under ideal conditions, and cannot accurately describe the photon triggering process of actual GM-APD lidar detection. For the actual target with rough surface, the negative binomial distribution with M as the parameter can describe the photon distribution model more accurately. In order to solve this problem, this paper compares and analyzes Poisson distribution triggering model and the negative binomial distribution triggering model that conforms to the triggering situation of the echo signal of the target with rough surface, considering the differences in the triggering probability under different noise and signal levels. The results show that the trigger probability curve corresponding to the trigger model based on negative binomial distribution is lower in peak value, wider in bottom value and fatter overall than that of the trigger model based on Poisson distribution, and the difference between the two is more prominent under the conditions of low noise level and high signal level. This study has guiding significance for the signal extraction research based on different surface echoes.

Harbin Institute of Technology (CN), China Electronics Technology Group Corporation (CN), State Key Laboratory of Remote Sensing Science (CN)
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Advanced Optical Sensing Technologies
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