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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...

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Autores principales: Zhou, Guoqing, Zhou, Xiang, Chen, Jinlong, Jia, Guoshuai, Zhu, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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