Research on laser ranging technology with low false alarm rate based on DBSCAN algorithm

Jinghong Gao; Houbing Lu; Siyu Huang; Yuntao Xie

doi:10.1117/12.2627306

27 March 2022 Research on laser ranging technology with low false alarm rate based on DBSCAN algorithm

Jinghong Gao, Houbing Lu, Siyu Huang, Yuntao Xie

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 12169CI (2022) https://doi.org/10.1117/12.2627306
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

The photon counting lidar uses a single-photon detector with extremely high sensitivity, which can increase the sensitivity of the lidar system by 2-3 orders of magnitude. However, the use of a single photon detector makes the noise amplitude the same as the signal amplitude. It cannot be filtered by the threshold comparison method on the circuit. The output is a 0/1 digitized signal, and the trigger will output an indistinguishable saturation avalanche pulse. So it is impossible to distinguish whether it is a signal or a noise trigger. In clear daylight, the background noise of the sun is unavoidable. In this environment, the false alarm probability of photon lidar is very high. Therefore, the false alarm probability is the research focus of pulsed photon lidar. We use the Monte Carlo method to simulate the detection process according to the statistical characteristics of the signal and noise. We know that multi-pulse accumulation can effectively reduce the probability of false alarms. In this article, we propose an improved Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to classify signals and noise, which can further reduce noise on the basis of multi-pulse and achieve a lower false alarm probability.

Citation Download Citation

Jinghong Gao, Houbing Lu, Siyu Huang, and Yuntao Xie "Research on laser ranging technology with low false alarm rate based on DBSCAN algorithm", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 12169CI (27 March 2022); https://doi.org/10.1117/12.2627306

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KEYWORDS

Signal detection

Interference (communication)

Sensors

LIDAR

Single photon detectors

Target detection

Photodetectors

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