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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624732/ https://www.ncbi.nlm.nih.gov/pubmed/34828196 http://dx.doi.org/10.3390/e23111499 |
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author | Huang, Mingwei Zhang, Zijing Xie, Jiaheng Li, Jiahuan Zhao, Yuan |
author_facet | Huang, Mingwei Zhang, Zijing Xie, Jiaheng Li, Jiahuan Zhao, Yuan |
author_sort | Huang, Mingwei |
collection | PubMed |
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 | Online Article Text |
id | pubmed-8624732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86247322021-11-27 An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar Huang, Mingwei Zhang, Zijing Xie, Jiaheng Li, Jiahuan Zhao, Yuan Entropy (Basel) Article 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. MDPI 2021-11-12 /pmc/articles/PMC8624732/ /pubmed/34828196 http://dx.doi.org/10.3390/e23111499 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Huang, Mingwei Zhang, Zijing Xie, Jiaheng Li, Jiahuan Zhao, Yuan An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624732/ https://www.ncbi.nlm.nih.gov/pubmed/34828196 http://dx.doi.org/10.3390/e23111499 |
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