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LiDAR Echo Gaussian Decomposition Algorithm for FPGA Implementation
As the existing processing algorithms for LiDAR echo decomposition are time-consuming, this paper proposes an FPGA-based improved Gaussian full-waveform decomposition method. The proposed FPGA architecture consists of three modules: (i) a pre-processing module, which is used to pipeline data reading...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230592/ https://www.ncbi.nlm.nih.gov/pubmed/35746409 http://dx.doi.org/10.3390/s22124628 |
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author | Zhou, Guoqing Zhou, Xiang Chen, Jinlong Jia, Guoshuai Zhu, Qiang |
author_facet | Zhou, Guoqing Zhou, Xiang Chen, Jinlong Jia, Guoshuai Zhu, Qiang |
author_sort | Zhou, Guoqing |
collection | PubMed |
description | As the existing processing algorithms for LiDAR echo decomposition are time-consuming, this paper proposes an FPGA-based improved Gaussian full-waveform decomposition method. The proposed FPGA architecture consists of three modules: (i) a pre-processing module, which is used to pipeline data reading and Gaussian filtering, (ii) the inflection point coordinate solution module, applied to the second-order differential operation and to calculate inflection point coordinates, and (iii) the Gaussian component parameter solution and echo component positioning module, which is utilized to calculate the Gaussian component and echo time parameters. Finally, two LiDAR datasets, covering the Congo and Antarctic regions, are used to verify the accuracy and speed of the proposed method. The experimental results show that (i) the accuracy of the FPGA-based processing is equivalent to that of PC-based processing, and (ii) the processing speed of the FPGA-based processing is 292 times faster than that of PC-based processing. |
format | Online Article Text |
id | pubmed-9230592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92305922022-06-25 LiDAR Echo Gaussian Decomposition Algorithm for FPGA Implementation Zhou, Guoqing Zhou, Xiang Chen, Jinlong Jia, Guoshuai Zhu, Qiang Sensors (Basel) Article As the existing processing algorithms for LiDAR echo decomposition are time-consuming, this paper proposes an FPGA-based improved Gaussian full-waveform decomposition method. The proposed FPGA architecture consists of three modules: (i) a pre-processing module, which is used to pipeline data reading and Gaussian filtering, (ii) the inflection point coordinate solution module, applied to the second-order differential operation and to calculate inflection point coordinates, and (iii) the Gaussian component parameter solution and echo component positioning module, which is utilized to calculate the Gaussian component and echo time parameters. Finally, two LiDAR datasets, covering the Congo and Antarctic regions, are used to verify the accuracy and speed of the proposed method. The experimental results show that (i) the accuracy of the FPGA-based processing is equivalent to that of PC-based processing, and (ii) the processing speed of the FPGA-based processing is 292 times faster than that of PC-based processing. MDPI 2022-06-19 /pmc/articles/PMC9230592/ /pubmed/35746409 http://dx.doi.org/10.3390/s22124628 Text en © 2022 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 Zhou, Guoqing Zhou, Xiang Chen, Jinlong Jia, Guoshuai Zhu, Qiang LiDAR Echo Gaussian Decomposition Algorithm for FPGA Implementation |
title | LiDAR Echo Gaussian Decomposition Algorithm for FPGA Implementation |
title_full | LiDAR Echo Gaussian Decomposition Algorithm for FPGA Implementation |
title_fullStr | LiDAR Echo Gaussian Decomposition Algorithm for FPGA Implementation |
title_full_unstemmed | LiDAR Echo Gaussian Decomposition Algorithm for FPGA Implementation |
title_short | LiDAR Echo Gaussian Decomposition Algorithm for FPGA Implementation |
title_sort | lidar echo gaussian decomposition algorithm for fpga implementation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230592/ https://www.ncbi.nlm.nih.gov/pubmed/35746409 http://dx.doi.org/10.3390/s22124628 |
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