Extended target detection in interference whose covariance matrix is defined via uncertainty convex constraints
In this paper we deal with the problem of detecting extended targets embedded in Gaussian interference with structured covariance matrix. We model the target echo from each range bin as a deterministic signal with an unknown scaling factor that accounts for the target response. We also exploit some...
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ftunivroma3iris:oai:iris.uniroma3.it:11590/356069 2024-02-27T08:36:18+00:00 Extended target detection in interference whose covariance matrix is defined via uncertainty convex constraints Pallotta L. De Maio A. Aubry A. IEEE Pallotta, L. De Maio, A. Aubry, A. 2013 http://hdl.handle.net/11590/356069 https://doi.org/10.1109/RADAR.2013.6586013 eng eng info:eu-repo/semantics/altIdentifier/isbn/978-1-4673-5794-4 info:eu-repo/semantics/altIdentifier/wos/WOS:000332480800050 ispartofbook:IEEE National Radar Conference - Proceedings 2013 IEEE Radar Conference: "The Arctic - The New Frontier", RadarCon 2013 firstpage:1 lastpage:4 numberofpages:4 serie:PROCEEDINGS OF THE IEEE NATIONAL RADAR CONFERENCE http://hdl.handle.net/11590/356069 doi:10.1109/RADAR.2013.6586013 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84884867886 info:eu-repo/semantics/conferenceObject 2013 ftunivroma3iris https://doi.org/10.1109/RADAR.2013.6586013 2024-01-31T17:41:19Z In this paper we deal with the problem of detecting extended targets embedded in Gaussian interference with structured covariance matrix. We model the target echo from each range bin as a deterministic signal with an unknown scaling factor that accounts for the target response. We also exploit some a-priori knowledge about the operating environment at the design stage. Specifically, we assume that inverse disturbance covariance matrix belongs to a set described through a family of unitary invariant convex functions. Hence, we derive a class of Generalized Likelihood Ratio Tests (GLRT's) for the resulting hypothesis test. At the analysis stage, we assess the performance of some detectors, lying in the aforementioned class, in terms of Detection Probability (PD). The results highlight that the better the covariance uncertainty characterization, the better the detection performance. © 2013 IEEE. Conference Object Arctic Anagrafe della Ricerca d'Ateneo (Universitá degli studi Roma Tre) 2013 IEEE Radar Conference (RadarCon13) 1 4 |
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Anagrafe della Ricerca d'Ateneo (Universitá degli studi Roma Tre) |
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ftunivroma3iris |
language |
English |
description |
In this paper we deal with the problem of detecting extended targets embedded in Gaussian interference with structured covariance matrix. We model the target echo from each range bin as a deterministic signal with an unknown scaling factor that accounts for the target response. We also exploit some a-priori knowledge about the operating environment at the design stage. Specifically, we assume that inverse disturbance covariance matrix belongs to a set described through a family of unitary invariant convex functions. Hence, we derive a class of Generalized Likelihood Ratio Tests (GLRT's) for the resulting hypothesis test. At the analysis stage, we assess the performance of some detectors, lying in the aforementioned class, in terms of Detection Probability (PD). The results highlight that the better the covariance uncertainty characterization, the better the detection performance. © 2013 IEEE. |
author2 |
IEEE Pallotta, L. De Maio, A. Aubry, A. |
format |
Conference Object |
author |
Pallotta L. De Maio A. Aubry A. |
spellingShingle |
Pallotta L. De Maio A. Aubry A. Extended target detection in interference whose covariance matrix is defined via uncertainty convex constraints |
author_facet |
Pallotta L. De Maio A. Aubry A. |
author_sort |
Pallotta L. |
title |
Extended target detection in interference whose covariance matrix is defined via uncertainty convex constraints |
title_short |
Extended target detection in interference whose covariance matrix is defined via uncertainty convex constraints |
title_full |
Extended target detection in interference whose covariance matrix is defined via uncertainty convex constraints |
title_fullStr |
Extended target detection in interference whose covariance matrix is defined via uncertainty convex constraints |
title_full_unstemmed |
Extended target detection in interference whose covariance matrix is defined via uncertainty convex constraints |
title_sort |
extended target detection in interference whose covariance matrix is defined via uncertainty convex constraints |
publishDate |
2013 |
url |
http://hdl.handle.net/11590/356069 https://doi.org/10.1109/RADAR.2013.6586013 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
info:eu-repo/semantics/altIdentifier/isbn/978-1-4673-5794-4 info:eu-repo/semantics/altIdentifier/wos/WOS:000332480800050 ispartofbook:IEEE National Radar Conference - Proceedings 2013 IEEE Radar Conference: "The Arctic - The New Frontier", RadarCon 2013 firstpage:1 lastpage:4 numberofpages:4 serie:PROCEEDINGS OF THE IEEE NATIONAL RADAR CONFERENCE http://hdl.handle.net/11590/356069 doi:10.1109/RADAR.2013.6586013 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84884867886 |
op_doi |
https://doi.org/10.1109/RADAR.2013.6586013 |
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2013 IEEE Radar Conference (RadarCon13) |
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