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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6721030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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