{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T02:04:31Z","timestamp":1771466671005,"version":"3.50.1"},"reference-count":34,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,5,8]],"date-time":"2022-05-08T00:00:00Z","timestamp":1651968000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["61871469"],"award-info":[{"award-number":["61871469"]}]},{"name":"National Natural Science Foundation of China","award":["61771442"],"award-info":[{"award-number":["61771442"]}]},{"name":"National Natural Science Foundation of China","award":["CX2100060053"],"award-info":[{"award-number":["CX2100060053"]}]},{"name":"National Natural Science Foundation of China","award":["QYZDY-SSW-JSC035"],"award-info":[{"award-number":["QYZDY-SSW-JSC035"]}]},{"DOI":"10.13039\/501100004739","name":"Youth Innovation Promotion Association CAS","doi-asserted-by":"publisher","award":["61871469"],"award-info":[{"award-number":["61871469"]}],"id":[{"id":"10.13039\/501100004739","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004739","name":"Youth Innovation Promotion Association CAS","doi-asserted-by":"publisher","award":["61771442"],"award-info":[{"award-number":["61771442"]}],"id":[{"id":"10.13039\/501100004739","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004739","name":"Youth Innovation Promotion Association CAS","doi-asserted-by":"publisher","award":["CX2100060053"],"award-info":[{"award-number":["CX2100060053"]}],"id":[{"id":"10.13039\/501100004739","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004739","name":"Youth Innovation Promotion Association CAS","doi-asserted-by":"publisher","award":["QYZDY-SSW-JSC035"],"award-info":[{"award-number":["QYZDY-SSW-JSC035"]}],"id":[{"id":"10.13039\/501100004739","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research Program of the Frontier Sciences, CAS","award":["61871469"],"award-info":[{"award-number":["61871469"]}]},{"name":"Key Research Program of the Frontier Sciences, CAS","award":["61771442"],"award-info":[{"award-number":["61771442"]}]},{"name":"Key Research Program of the Frontier Sciences, CAS","award":["CX2100060053"],"award-info":[{"award-number":["CX2100060053"]}]},{"name":"Key Research Program of the Frontier Sciences, CAS","award":["QYZDY-SSW-JSC035"],"award-info":[{"award-number":["QYZDY-SSW-JSC035"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This paper discusses the problem of detecting subspace signals in structured interference plus compound Gaussian sea clutter with persymmetric structure. The sea clutter is represented by a compound Gaussian process wherein the texture obeys the inverse Gaussian distribution. The structured interference lies in a known subspace, which is independent with the target signal subspace. By resorting to the two-step generalized likelihood ratio test, two-step Rao, and two-step Wald design criteria, three adaptive subspace signal detectors are proposed. Moreover, the constant false-alarm rate property of the proposed detectors is proved. The experimental results based on IPIX real sea clutter data and simulated data illustrate that the proposed detectors outperform their counterparts.<\/jats:p>","DOI":"10.3390\/rs14092274","type":"journal-article","created":{"date-parts":[[2022,5,8]],"date-time":"2022-05-08T23:27:25Z","timestamp":1652052445000},"page":"2274","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Adaptive Subspace Signal Detection in Structured Interference Plus Compound Gaussian Sea Clutter"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5492-7886","authenticated-orcid":false,"given":"Zeyu","family":"Wang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China"}]},{"given":"Jun","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6672-367X","authenticated-orcid":false,"given":"Yachao","family":"Li","sequence":"additional","affiliation":[{"name":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1428-9012","authenticated-orcid":false,"given":"Hongmeng","family":"Chen","sequence":"additional","affiliation":[{"name":"Beijing Institute of Radio Measurement, Beijing 100854, China"}]},{"given":"Mugen","family":"Peng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"978","DOI":"10.1109\/TSP.2022.3152009","article-title":"Adaptive radar detection in Gaussian interference using clutter-free training data","volume":"70","author":"Rong","year":"2022","journal-title":"IEEE Trans. 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