基于独立元分析的水下激光雷达后向散射噪声去除方法

Translated title of the contribution: Elimination of Backscatter Noise of Underwater LiDAR Using Independent Component Analysis Algorithm

Ruoyi Qi, Kun Li, Suhui Yang*, Yanze Gao, Xin Wang, Zhuo Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

We simulate the detection signal of a modulated pulsed underwater light detection and ranging (LiDAR) system and use a fast independent component analysis iterative algorithm to separate the target in the detected signal from the backscatter signal. Our approach succeeds in recovering the echo signals of the weak target in muddy water submerged by strong backscattering and in improving the signal-to-noise rate. To obtain the time delay of the target reflection with respect to the transmitting signal in one step, we used single and triple modulation frequencies as references to demodulate the LiDAR echo signals. The peak position corresponds to the time delay between the target and the detector. After the iterative separation by independent component analysis, the underwater laser detection range can be increased by four to five attenuation lengths.

Translated title of the contributionElimination of Backscatter Noise of Underwater LiDAR Using Independent Component Analysis Algorithm
Original languageChinese (Traditional)
Article number0401004
JournalGuangxue Xuebao/Acta Optica Sinica
Volume41
Issue number4
DOIs
Publication statusPublished - 25 Feb 2021

Fingerprint

Dive into the research topics of 'Elimination of Backscatter Noise of Underwater LiDAR Using Independent Component Analysis Algorithm'. Together they form a unique fingerprint.

Cite this