{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T06:54:30Z","timestamp":1775631270441,"version":"3.50.1"},"reference-count":31,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2019,3,20]],"date-time":"2019-03-20T00:00:00Z","timestamp":1553040000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61601473"],"award-info":[{"award-number":["61601473"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014206","name":"National Key Laboratory Foundation","doi-asserted-by":"publisher","award":["9140C290401150C29132"],"award-info":[{"award-number":["9140C290401150C29132"]}],"id":[{"id":"10.13039\/501100014206","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>For the multireceiver synthetic aperture sonar (SAS), the point target reference spectrum (PTRS) in the two-dimensional (2D) frequency domain and azimuth modulation in the range Doppler domain were first deduced based on a numerical evaluation method and accurate time delay. Then, the difference between the PTRS and azimuth modulation generated the coupling term in the 2D frequency domain. Compared with traditional methods, the PTRS, azimuth modulation and coupling term was better at avoiding approximations. Based on three functions, an imaging algorithm is presented in this paper. Considering the fact that the coupling term is characterized by range variance, the range-dependent sub-block processing method was exploited to perform the decoupling. Simulation results showed that the presented method improved the imaging performance across the whole swath in comparison with existing multireceiver SAS processor. Furthermore, real data was used to validate the presented method.<\/jats:p>","DOI":"10.3390\/rs11060672","type":"journal-article","created":{"date-parts":[[2019,3,21]],"date-time":"2019-03-21T04:11:56Z","timestamp":1553141516000},"page":"672","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":45,"title":["An Imaging Algorithm for Multireceiver Synthetic Aperture Sonar"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5164-754X","authenticated-orcid":false,"given":"Xuebo","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China"},{"name":"Laboratory of Underwater Acoustics, Zhanjiang 524022, China"}]},{"given":"Cheng","family":"Tan","sequence":"additional","affiliation":[{"name":"Aerodynamics Research and Development Center, Computational Aerodynamics Institute, Mianyang 621000, China"}]},{"given":"Wenwei","family":"Ying","sequence":"additional","affiliation":[{"name":"Naval Research Academy, Beijing 102249, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.1109\/TGRS.2017.2758808","article-title":"The Mondrian detection algorithm for sonar imagery","volume":"56","author":"Williams","year":"2018","journal-title":"IEEE Trans. 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