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A Macro-Pulse Photon Counting Lidar for Long-Range High-Speed Moving Target Detection
A macro-pulse photon counting Lidar is described in this paper, which was designed to implement long-range and high-speed moving target detection. The ToF extraction method for the macro-pulse photon counting Lidar system is proposed. The performance of the macro pulse method and the traditional pul...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218901/ https://www.ncbi.nlm.nih.gov/pubmed/32295089 http://dx.doi.org/10.3390/s20082204 |
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author | Yu, Yang Liu, Bo Chen, Zhen Li, ZhiKang |
author_facet | Yu, Yang Liu, Bo Chen, Zhen Li, ZhiKang |
author_sort | Yu, Yang |
collection | PubMed |
description | A macro-pulse photon counting Lidar is described in this paper, which was designed to implement long-range and high-speed moving target detection. The ToF extraction method for the macro-pulse photon counting Lidar system is proposed. The performance of the macro pulse method and the traditional pulse accumulation method were compared in theory and simulation experiments. The results showed that the performance of the macro-pulse method was obviously better than that of the pulse accumulation method. At the same time, a laboratory verification platform for long range and high-speed moving targets was built. The experimental results were highly consistent with the theoretical and simulation results. This proved that the macro pulse photon counting Lidar is an effective method to measure long range high-speed moving targets. |
format | Online Article Text |
id | pubmed-7218901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72189012020-05-22 A Macro-Pulse Photon Counting Lidar for Long-Range High-Speed Moving Target Detection Yu, Yang Liu, Bo Chen, Zhen Li, ZhiKang Sensors (Basel) Article A macro-pulse photon counting Lidar is described in this paper, which was designed to implement long-range and high-speed moving target detection. The ToF extraction method for the macro-pulse photon counting Lidar system is proposed. The performance of the macro pulse method and the traditional pulse accumulation method were compared in theory and simulation experiments. The results showed that the performance of the macro-pulse method was obviously better than that of the pulse accumulation method. At the same time, a laboratory verification platform for long range and high-speed moving targets was built. The experimental results were highly consistent with the theoretical and simulation results. This proved that the macro pulse photon counting Lidar is an effective method to measure long range high-speed moving targets. MDPI 2020-04-13 /pmc/articles/PMC7218901/ /pubmed/32295089 http://dx.doi.org/10.3390/s20082204 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yu, Yang Liu, Bo Chen, Zhen Li, ZhiKang A Macro-Pulse Photon Counting Lidar for Long-Range High-Speed Moving Target Detection |
title | A Macro-Pulse Photon Counting Lidar for Long-Range High-Speed Moving Target Detection |
title_full | A Macro-Pulse Photon Counting Lidar for Long-Range High-Speed Moving Target Detection |
title_fullStr | A Macro-Pulse Photon Counting Lidar for Long-Range High-Speed Moving Target Detection |
title_full_unstemmed | A Macro-Pulse Photon Counting Lidar for Long-Range High-Speed Moving Target Detection |
title_short | A Macro-Pulse Photon Counting Lidar for Long-Range High-Speed Moving Target Detection |
title_sort | macro-pulse photon counting lidar for long-range high-speed moving target detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218901/ https://www.ncbi.nlm.nih.gov/pubmed/32295089 http://dx.doi.org/10.3390/s20082204 |
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