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Improving the Performance of Pseudo-Random Single-Photon Counting Ranging Lidar

A new encoding method is proposed to improve the performance of pseudo-random single-photon counting ranging (PSPCR) Lidar. The encoding principle and methodology are presented. In addition, the influence of detector’s dead time on the detection probability is analyzed with theoretical derivation an...

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Detalles Bibliográficos
Autores principales: Yu, Yang, Liu, Bo, Chen, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721030/
https://www.ncbi.nlm.nih.gov/pubmed/31434284
http://dx.doi.org/10.3390/s19163620
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author Yu, Yang
Liu, Bo
Chen, Zhen
author_facet Yu, Yang
Liu, Bo
Chen, Zhen
author_sort Yu, Yang
collection PubMed
description A new encoding method is proposed to improve the performance of pseudo-random single-photon counting ranging (PSPCR) Lidar. The encoding principle and methodology are presented. In addition, the influence of detector’s dead time on the detection probability is analyzed with theoretical derivation and Monte Carlo simulation. Meanwhile, we propose using macro code as the analysis unit to quantitatively analyze the detection probability and single-photon detection efficiency of the traditional PSPCR Lidar and the modulated PSPCR Lidar. The Monte Carlo simulation and experiment prove that the proposed method exhibited better ranging performance than the traditional PSPCR Lidar system.
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spelling pubmed-67210302019-09-10 Improving the Performance of Pseudo-Random Single-Photon Counting Ranging Lidar Yu, Yang Liu, Bo Chen, Zhen Sensors (Basel) Article A new encoding method is proposed to improve the performance of pseudo-random single-photon counting ranging (PSPCR) Lidar. The encoding principle and methodology are presented. In addition, the influence of detector’s dead time on the detection probability is analyzed with theoretical derivation and Monte Carlo simulation. Meanwhile, we propose using macro code as the analysis unit to quantitatively analyze the detection probability and single-photon detection efficiency of the traditional PSPCR Lidar and the modulated PSPCR Lidar. The Monte Carlo simulation and experiment prove that the proposed method exhibited better ranging performance than the traditional PSPCR Lidar system. MDPI 2019-08-20 /pmc/articles/PMC6721030/ /pubmed/31434284 http://dx.doi.org/10.3390/s19163620 Text en © 2019 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
Improving the Performance of Pseudo-Random Single-Photon Counting Ranging Lidar
title Improving the Performance of Pseudo-Random Single-Photon Counting Ranging Lidar
title_full Improving the Performance of Pseudo-Random Single-Photon Counting Ranging Lidar
title_fullStr Improving the Performance of Pseudo-Random Single-Photon Counting Ranging Lidar
title_full_unstemmed Improving the Performance of Pseudo-Random Single-Photon Counting Ranging Lidar
title_short Improving the Performance of Pseudo-Random Single-Photon Counting Ranging Lidar
title_sort improving the performance of pseudo-random single-photon counting ranging lidar
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721030/
https://www.ncbi.nlm.nih.gov/pubmed/31434284
http://dx.doi.org/10.3390/s19163620
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