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...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-08-01
|
Series: | The Journal of Engineering |
Subjects: | |
Online Access: | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0431 |
id |
doaj-f7d619176e5a4dea8da1461f80c3791b |
---|---|
record_format |
Article |
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 |
_version_ |
1721565427870466048 |