Multireceiver SAS Imagery Based on Monostatic Conversion

To use monostatic based imaging algorithms for multireceiver synthetic aperture sonar, the monostatic conversion is often carried out based on phase centre approximation, which is widely exploited by multireceiver SAS systems. This article presents a novel aspect for dealing with the multireceiver S...

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Autores principales:	Xuebo Zhang, Haoran Wu, Haixin Sun, Wenwei Ying
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Imaging algorithm Loffeld's bistatic formula multireceiver phase error synthetic aperture sonar Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809
Acceso en línea:	https://doaj.org/article/359c9fa481cb49b88d2397db9622e9bc
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id	oai:doaj.org-article:359c9fa481cb49b88d2397db9622e9bc
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spelling	oai:doaj.org-article:359c9fa481cb49b88d2397db9622e9bc2021-11-09T00:00:14ZMultireceiver SAS Imagery Based on Monostatic Conversion2151-153510.1109/JSTARS.2021.3121405https://doaj.org/article/359c9fa481cb49b88d2397db9622e9bc2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9582803/https://doaj.org/toc/2151-1535To use monostatic based imaging algorithms for multireceiver synthetic aperture sonar, the monostatic conversion is often carried out based on phase centre approximation, which is widely exploited by multireceiver SAS systems. This article presents a novel aspect for dealing with the multireceiver SAS imagery, which still depends on the idea of monostatic conversion. The approach in this article is based on Loffeld's bistatic formula that consists of two important terms, i.e., quasi monostatic and bistatic deformation terms. Our basic idea is to preprocess the bistatic deformation term and then incorporate the quasi monostatic term into an analogous monostatic spectrum. With this new spectrum, traditional imaging algorithms designed for monostatic synthetic aperture sonar can be easily exploited. In this article, we show that Loffeld's bistatic formula can be reduced to the same formula as spectrum based on phase centre approximation when certain conditions are met. Based on our error analysis, the maximum error magnitude of PCA method is about 1 rad, which would noticeably affect the SAS imagery. Fortunately, the error magnitude of presented method can be always kept within <inline-formula><tex-math notation="LaTeX">${{\rm{\pi }} \mathord{/ {\vphantom {{\rm{\pi }} 4}} \kern-\nulldelimiterspace} 4}$</tex-math></inline-formula>. It means that Loffeld's bistatic formula provides a more accurate approximation of the spectrum compared to that based on phase centre approximation. After that, this article develops a new imaging scheme and presents imaging results. Based on quantitative comparisons, the presented method well focuses multireceiver SAS data, and it provides better image compared to phase centre approximation method.Xuebo ZhangHaoran WuHaixin SunWenwei YingIEEEarticleImaging algorithmLoffeld's bistatic formulamultireceiverphase errorsynthetic aperture sonarOcean engineeringTC1501-1800Geophysics. Cosmic physicsQC801-809ENIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10835-10853 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Imaging algorithm Loffeld's bistatic formula multireceiver phase error synthetic aperture sonar Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809
spellingShingle	Imaging algorithm Loffeld's bistatic formula multireceiver phase error synthetic aperture sonar Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Xuebo Zhang Haoran Wu Haixin Sun Wenwei Ying Multireceiver SAS Imagery Based on Monostatic Conversion
description	To use monostatic based imaging algorithms for multireceiver synthetic aperture sonar, the monostatic conversion is often carried out based on phase centre approximation, which is widely exploited by multireceiver SAS systems. This article presents a novel aspect for dealing with the multireceiver SAS imagery, which still depends on the idea of monostatic conversion. The approach in this article is based on Loffeld's bistatic formula that consists of two important terms, i.e., quasi monostatic and bistatic deformation terms. Our basic idea is to preprocess the bistatic deformation term and then incorporate the quasi monostatic term into an analogous monostatic spectrum. With this new spectrum, traditional imaging algorithms designed for monostatic synthetic aperture sonar can be easily exploited. In this article, we show that Loffeld's bistatic formula can be reduced to the same formula as spectrum based on phase centre approximation when certain conditions are met. Based on our error analysis, the maximum error magnitude of PCA method is about 1 rad, which would noticeably affect the SAS imagery. Fortunately, the error magnitude of presented method can be always kept within <inline-formula><tex-math notation="LaTeX">${{\rm{\pi }} \mathord{/ {\vphantom {{\rm{\pi }} 4}} \kern-\nulldelimiterspace} 4}$</tex-math></inline-formula>. It means that Loffeld's bistatic formula provides a more accurate approximation of the spectrum compared to that based on phase centre approximation. After that, this article develops a new imaging scheme and presents imaging results. Based on quantitative comparisons, the presented method well focuses multireceiver SAS data, and it provides better image compared to phase centre approximation method.
format	article
author	Xuebo Zhang Haoran Wu Haixin Sun Wenwei Ying
author_facet	Xuebo Zhang Haoran Wu Haixin Sun Wenwei Ying
author_sort	Xuebo Zhang
title	Multireceiver SAS Imagery Based on Monostatic Conversion
title_short	Multireceiver SAS Imagery Based on Monostatic Conversion
title_full	Multireceiver SAS Imagery Based on Monostatic Conversion
title_fullStr	Multireceiver SAS Imagery Based on Monostatic Conversion
title_full_unstemmed	Multireceiver SAS Imagery Based on Monostatic Conversion
title_sort	multireceiver sas imagery based on monostatic conversion
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/359c9fa481cb49b88d2397db9622e9bc
work_keys_str_mv	AT xuebozhang multireceiversasimagerybasedonmonostaticconversion AT haoranwu multireceiversasimagerybasedonmonostaticconversion AT haixinsun multireceiversasimagerybasedonmonostaticconversion AT wenweiying multireceiversasimagerybasedonmonostaticconversion
_version_	1718441375727353856

Multireceiver SAS Imagery Based on Monostatic Conversion

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