红外与毫米波学报2023，Vol.42Issue(6)：865-875,11.DOI:10.11972/j.issn.1001-9014.2023.06.020
不同鉴别阈值条件下SiPM光子计数激光雷达探测模型及性能分析
The photon detection mode and performance analysis of SiPM photon counting Lidar under different discrimination thresholds
摘要
Abstract
Silicon photomultiplier(SiPM)is a silicon array structure based on the Geiger mode avalanche photodiode.It not only has extremely high photon counting sensitivity and response speed,but also has the characteristics of high dy-namic range and linear response under the multi-photon condition,which makes it have unique advantages in the appli-cation of photon counting LIDAR.However,due to the multi-pixel,single-time channel working mode of SiPM,its output voltage has a greater probability of pulse pile up compared with other single-photon detectors.Therefore,the de-tection process of SiPM under different discrimination thresholds is more complicated.To solve this problem,a SiPM photon event response model is established in this paper.Based on this,the time-domain distributions of the shielding effect and the triggering effect caused by pulse pile up are discussed.Finally,the semi-analytic detection probability and false alarm probability models of SiPM are established.At the same time,a photon counting Lidar system based on SiPM detector is built,and the theoretical model is verified by observing that the measured output voltage waveform and point cloud distribution are consistent with the theoretical model(R2>0.95).Furthermore,the distribution of SiPM pho-ton point cloud with different discrimination thresholds is quantitatively evaluated by the recall and precision ratio,and the optimal discrimination threshold interval is given,which has important guiding significance for the design and theo-retical analysis of photon counting Lidar system based on SiPM.关键词
硅光电倍增管/脉冲堆叠/鉴别阈值/探测概率模型Key words
photomultiplier tubes/pulse pile up/discrimination threshold/detection probability model分类
信息技术与安全科学引用本文复制引用
刘欣缘,肖毅,马跃,向雨琰,郭高峰,王家炜,黄炜怡,谭崇涛,李松..不同鉴别阈值条件下SiPM光子计数激光雷达探测模型及性能分析[J].红外与毫米波学报,2023,42(6):865-875,11.基金项目
国家自然科学基金(41971302),湖北省重点研发计划(2022BID016) Supported by the National Natural Science Foundation of China(41971302),the Key Research Project of Hubei Province(2022BID016) （41971302）
