Theoretical model and experimental verification on improving signal-to-noise of full-waveform LiDAR using differential optical path

Yu Tao; Yang Cheng; Jie Cao; Qun Hao

doi:10.1117/12.2549916

12 March 2020 Theoretical model and experimental verification on improving signal-to-noise of full-waveform LiDAR using differential optical path

Yu Tao, Yang Cheng, Jie Cao, Qun Hao

Author Affiliations +

Proceedings Volume 11434, 2019 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments; 1143416 (2020) https://doi.org/10.1117/12.2549916
Event: 2019 International Conference on Optical Instruments and Technology, 2019, Beijing, China

Abstract

A novel approach to improve signal-to-noise (SNR) of full-waveform LiDAR based on differential optical path is proposed. Two avalanche photodiodes are placed on the before and after the focus of a focusing lens to detect backscattered full - waveform signal (BFWS) respectively. The two BFWSs are sent to a subtraction circuit to suppress background noise. The mathematical model of the differential BFWS is developed. A prototype is built and the effectiveness of the proposed approach has been validated by experiments. The results show that comparing with the traditional method, the proposed method can improve SNR, which verifies the validity of the proposed method.

Citation Download Citation

Yu Tao, Yang Cheng, Jie Cao, and Qun Hao "Theoretical model and experimental verification on improving signal-to-noise of full-waveform LiDAR using differential optical path", Proc. SPIE 11434, 2019 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, 1143416 (12 March 2020); https://doi.org/10.1117/12.2549916

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