High-resolution imaging for the multireceiver SAS

The area coverage rate is dramatically improved by using the multireceiver technique. However, this configuration leads to the complexity of the synthetic aperture image formation. In order to solve this issue, the target based on the phase centre approximation (PCA) is to be reconstructed. The data...

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Bibliographic Details
Main Authors: Xuebo Zhang, Wenwei Ying, Xuntao Dai
Format: Article
Language:English
Published: Wiley 2019-08-01
Series:The Journal of Engineering
Subjects:
PCA
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0431
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spelling doaj-f7d619176e5a4dea8da1461f80c3791b2021-04-02T13:20:34ZengWileyThe Journal of Engineering2051-33052019-08-0110.1049/joe.2019.0431JOE.2019.0431High-resolution imaging for the multireceiver SASXuebo Zhang0Wenwei Ying1Wenwei Ying2Xuntao Dai3Underwater Acoustic Antagonizing LaboratoryNaval Research AcademyNaval Research AcademyGroup Corporation No. 10 Research InstituteThe area coverage rate is dramatically improved by using the multireceiver technique. However, this configuration leads to the complexity of the synthetic aperture image formation. In order to solve this issue, the target based on the phase centre approximation (PCA) is to be reconstructed. The data related to the multireceiver SAS system is coerced into the data like traditional monostatic synthetic aperture sonar (SAS) system. Then, the data can be processed by traditional imaging methods. In this paper, the chirp scaling algorithm is exploited as an example. Moreover, the influence of some important steps with the monostatic conversion, i.e. pulse compression in the range dimension and the micro range cell migration correction (RCMC), is further discussed in detail. The simulations show that the presented method can focus the target well.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0431synthetic aperture sonarimage resolutionapproximation theorypulse compressionsonar imagingacoustic receiverstraditional imaging methodschirp scaling algorithmmonostatic conversionmicrorange cell migration correctionhigh-resolution imagingarea coverage ratemultireceiver techniquesynthetic aperture image formationphase centre approximationPCAmultireceiver SAS systemtraditional monostatic synthetic aperture sonar systemdata processingpulse compressionrange dimension
collection DOAJ
language English
format Article
sources DOAJ
author Xuebo Zhang
Wenwei Ying
Wenwei Ying
Xuntao Dai
spellingShingle Xuebo Zhang
Wenwei Ying
Wenwei Ying
Xuntao Dai
High-resolution imaging for the multireceiver SAS
The Journal of Engineering
synthetic aperture sonar
image resolution
approximation theory
pulse compression
sonar imaging
acoustic receivers
traditional imaging methods
chirp scaling algorithm
monostatic conversion
microrange cell migration correction
high-resolution imaging
area coverage rate
multireceiver technique
synthetic aperture image formation
phase centre approximation
PCA
multireceiver SAS system
traditional monostatic synthetic aperture sonar system
data processing
pulse compression
range dimension
author_facet Xuebo Zhang
Wenwei Ying
Wenwei Ying
Xuntao Dai
author_sort Xuebo Zhang
title High-resolution imaging for the multireceiver SAS
title_short High-resolution imaging for the multireceiver SAS
title_full High-resolution imaging for the multireceiver SAS
title_fullStr High-resolution imaging for the multireceiver SAS
title_full_unstemmed High-resolution imaging for the multireceiver SAS
title_sort high-resolution imaging for the multireceiver sas
publisher Wiley
series The Journal of Engineering
issn 2051-3305
publishDate 2019-08-01
description The area coverage rate is dramatically improved by using the multireceiver technique. However, this configuration leads to the complexity of the synthetic aperture image formation. In order to solve this issue, the target based on the phase centre approximation (PCA) is to be reconstructed. The data related to the multireceiver SAS system is coerced into the data like traditional monostatic synthetic aperture sonar (SAS) system. Then, the data can be processed by traditional imaging methods. In this paper, the chirp scaling algorithm is exploited as an example. Moreover, the influence of some important steps with the monostatic conversion, i.e. pulse compression in the range dimension and the micro range cell migration correction (RCMC), is further discussed in detail. The simulations show that the presented method can focus the target well.
topic synthetic aperture sonar
image resolution
approximation theory
pulse compression
sonar imaging
acoustic receivers
traditional imaging methods
chirp scaling algorithm
monostatic conversion
microrange cell migration correction
high-resolution imaging
area coverage rate
multireceiver technique
synthetic aperture image formation
phase centre approximation
PCA
multireceiver SAS system
traditional monostatic synthetic aperture sonar system
data processing
pulse compression
range dimension
url https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0431
work_keys_str_mv AT xuebozhang highresolutionimagingforthemultireceiversas
AT wenweiying highresolutionimagingforthemultireceiversas
AT wenweiying highresolutionimagingforthemultireceiversas
AT xuntaodai highresolutionimagingforthemultireceiversas
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