An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar

Photon counting lidar for long-range detection faces the problem of declining ranging performance caused by background noise. Current anti-noise methods are not robust enough in the case of weak signal and strong background noise, resulting in poor ranging error. In this work, based on the character...

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Autores principales: Mingwei Huang, Zijing Zhang, Jiaheng Xie, Jiahuan Li, Yuan Zhao
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/27734037364e4f14b4a3da7cca71cfc2
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spelling oai:doaj.org-article:27734037364e4f14b4a3da7cca71cfc22021-11-25T17:30:12ZAn Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar10.3390/e231114991099-4300https://doaj.org/article/27734037364e4f14b4a3da7cca71cfc22021-11-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1499https://doaj.org/toc/1099-4300Photon counting lidar for long-range detection faces the problem of declining ranging performance caused by background noise. Current anti-noise methods are not robust enough in the case of weak signal and strong background noise, resulting in poor ranging error. In this work, based on the characteristics of the uncertainty of echo signal and noise in photon counting lidar, an entropy-based anti-noise method is proposed to reduce the ranging error under high background noise. Firstly, the photon counting entropy, which is considered as the feature to distinguish signal from noise, is defined to quantify the uncertainty of fluctuation among photon events responding to the Geiger mode avalanche photodiode. Then, the photon counting entropy is combined with a windowing operation to enhance the difference between signal and noise, so as to mitigate the effect of background noise and estimate the time of flight of the laser pulses. Simulation and experimental analysis show that the proposed method improves the anti-noise performance well, and experimental results demonstrate that the proposed method effectively mitigates the effect of background noise to reduce ranging error despite high background noise.Mingwei HuangZijing ZhangJiaheng XieJiahuan LiYuan ZhaoMDPI AGarticleentropyphoton counting lidarnoise mitigationranging errorScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1499, p 1499 (2021)
institution DOAJ
collection DOAJ
language EN
topic entropy
photon counting lidar
noise mitigation
ranging error
Science
Q
Astrophysics
QB460-466
Physics
QC1-999
spellingShingle entropy
photon counting lidar
noise mitigation
ranging error
Science
Q
Astrophysics
QB460-466
Physics
QC1-999
Mingwei Huang
Zijing Zhang
Jiaheng Xie
Jiahuan Li
Yuan Zhao
An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar
description Photon counting lidar for long-range detection faces the problem of declining ranging performance caused by background noise. Current anti-noise methods are not robust enough in the case of weak signal and strong background noise, resulting in poor ranging error. In this work, based on the characteristics of the uncertainty of echo signal and noise in photon counting lidar, an entropy-based anti-noise method is proposed to reduce the ranging error under high background noise. Firstly, the photon counting entropy, which is considered as the feature to distinguish signal from noise, is defined to quantify the uncertainty of fluctuation among photon events responding to the Geiger mode avalanche photodiode. Then, the photon counting entropy is combined with a windowing operation to enhance the difference between signal and noise, so as to mitigate the effect of background noise and estimate the time of flight of the laser pulses. Simulation and experimental analysis show that the proposed method improves the anti-noise performance well, and experimental results demonstrate that the proposed method effectively mitigates the effect of background noise to reduce ranging error despite high background noise.
format article
author Mingwei Huang
Zijing Zhang
Jiaheng Xie
Jiahuan Li
Yuan Zhao
author_facet Mingwei Huang
Zijing Zhang
Jiaheng Xie
Jiahuan Li
Yuan Zhao
author_sort Mingwei Huang
title An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar
title_short An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar
title_full An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar
title_fullStr An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar
title_full_unstemmed An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar
title_sort entropy-based anti-noise method for reducing ranging error in photon counting lidar
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/27734037364e4f14b4a3da7cca71cfc2
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