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A Novel MIMO–SAR Solution Based on Azimuth Phase Coding Waveforms and Digital Beamforming

In multiple-input multiple-output synthetic aperture radar (MIMO–SAR) signal processing, a reliable separation of multiple transmitted waveforms is one of the most important and challenging issues, for the unseparated signal will degrade the performance of most MIMO–SAR applications. As a solution t...

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Detalles Bibliográficos
Autores principales: Zhou, Fang, Ai, Jiaqiu, Dong, Zhangyu, Zhang, Jiajia, Xing, Mengdao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210374/
https://www.ncbi.nlm.nih.gov/pubmed/30304870
http://dx.doi.org/10.3390/s18103374
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author Zhou, Fang
Ai, Jiaqiu
Dong, Zhangyu
Zhang, Jiajia
Xing, Mengdao
author_facet Zhou, Fang
Ai, Jiaqiu
Dong, Zhangyu
Zhang, Jiajia
Xing, Mengdao
author_sort Zhou, Fang
collection PubMed
description In multiple-input multiple-output synthetic aperture radar (MIMO–SAR) signal processing, a reliable separation of multiple transmitted waveforms is one of the most important and challenging issues, for the unseparated signal will degrade the performance of most MIMO–SAR applications. As a solution to this problem, a novel APC–MIMO–SAR system is proposed based on the azimuth phase coding (APC) technique to transmit multiple waveforms simultaneously. Although the echo aliasing occurs in the time domain and Doppler domain, the echoes can be separated well without performance degradation by implementing the azimuth digital beamforming (DBF) technique, comparing to the performance of the orthogonal waveforms. The proposed MIMO–SAR solution based on the APC waveforms indicates the feasibility and the spatial diversity of the MIMO–SAR system. It forms a longer baseline in elevation, which gives the potential to expand the application of MIMO–SAR in elevation, such as improving the performance of multibaseline InSAR and three-dimensional SAR imaging. Simulated results on both a point target and distributed targets validate the effectiveness of the echo separation and reconstruction method with the azimuth DBF. The feasibility and advantage of the proposed MIMO–SAR solution based on the APC waveforms are demonstrated by comparing with the imaging result of the up- and down-chirp waveforms.
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spelling pubmed-62103742018-11-02 A Novel MIMO–SAR Solution Based on Azimuth Phase Coding Waveforms and Digital Beamforming Zhou, Fang Ai, Jiaqiu Dong, Zhangyu Zhang, Jiajia Xing, Mengdao Sensors (Basel) Article In multiple-input multiple-output synthetic aperture radar (MIMO–SAR) signal processing, a reliable separation of multiple transmitted waveforms is one of the most important and challenging issues, for the unseparated signal will degrade the performance of most MIMO–SAR applications. As a solution to this problem, a novel APC–MIMO–SAR system is proposed based on the azimuth phase coding (APC) technique to transmit multiple waveforms simultaneously. Although the echo aliasing occurs in the time domain and Doppler domain, the echoes can be separated well without performance degradation by implementing the azimuth digital beamforming (DBF) technique, comparing to the performance of the orthogonal waveforms. The proposed MIMO–SAR solution based on the APC waveforms indicates the feasibility and the spatial diversity of the MIMO–SAR system. It forms a longer baseline in elevation, which gives the potential to expand the application of MIMO–SAR in elevation, such as improving the performance of multibaseline InSAR and three-dimensional SAR imaging. Simulated results on both a point target and distributed targets validate the effectiveness of the echo separation and reconstruction method with the azimuth DBF. The feasibility and advantage of the proposed MIMO–SAR solution based on the APC waveforms are demonstrated by comparing with the imaging result of the up- and down-chirp waveforms. MDPI 2018-10-09 /pmc/articles/PMC6210374/ /pubmed/30304870 http://dx.doi.org/10.3390/s18103374 Text en © 2018 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
Zhou, Fang
Ai, Jiaqiu
Dong, Zhangyu
Zhang, Jiajia
Xing, Mengdao
A Novel MIMO–SAR Solution Based on Azimuth Phase Coding Waveforms and Digital Beamforming
title A Novel MIMO–SAR Solution Based on Azimuth Phase Coding Waveforms and Digital Beamforming
title_full A Novel MIMO–SAR Solution Based on Azimuth Phase Coding Waveforms and Digital Beamforming
title_fullStr A Novel MIMO–SAR Solution Based on Azimuth Phase Coding Waveforms and Digital Beamforming
title_full_unstemmed A Novel MIMO–SAR Solution Based on Azimuth Phase Coding Waveforms and Digital Beamforming
title_short A Novel MIMO–SAR Solution Based on Azimuth Phase Coding Waveforms and Digital Beamforming
title_sort novel mimo–sar solution based on azimuth phase coding waveforms and digital beamforming
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210374/
https://www.ncbi.nlm.nih.gov/pubmed/30304870
http://dx.doi.org/10.3390/s18103374
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