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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2019 International Conference on Optical Instruments and Technology
Subtitle of host publicationOptical Systems and Modern Optoelectronic Instruments
EditorsJuan Liu, Baohua Jia, Xincheng Yao, Yongtian Wang, Takanori Nomura
PublisherSPIE
ISBN (Electronic)9781510636460
DOIs
Publication statusPublished - 2020
Event2019 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments - Beijing, China
Duration: 26 Oct 201928 Oct 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11434
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2019 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments
Country/TerritoryChina
CityBeijing
Period26/10/1928/10/19

Keywords

  • Avalanche photodiode
  • Backscattered fullwaveform signal
  • Differential optical path
  • Full-waveform LiDAR
  • Signal-to-noise

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