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Distributed Target Detection in Unknown Interference

Interference can degrade the detection performance of a radar system. To overcome the difficulty of target detection in unknown interference, in this paper we model the interference belonging to a subspace orthogonal to the signal subspace. We design three effective detectors for distributed target...

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Detalles Bibliográficos
Autores principales: Xu, Kaiming, Deng, Yunkai, Yu, Zhongjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002535/
https://www.ncbi.nlm.nih.gov/pubmed/35408044
http://dx.doi.org/10.3390/s22072430
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author Xu, Kaiming
Deng, Yunkai
Yu, Zhongjun
author_facet Xu, Kaiming
Deng, Yunkai
Yu, Zhongjun
author_sort Xu, Kaiming
collection PubMed
description Interference can degrade the detection performance of a radar system. To overcome the difficulty of target detection in unknown interference, in this paper we model the interference belonging to a subspace orthogonal to the signal subspace. We design three effective detectors for distributed target detection in unknown interference by adopting the criteria of the generalized likelihood ratio test (GLRT), the Rao test, and the Wald test. At the stage of performance evaluation, we illustrate the detection performance of the proposed detectors in the presence of completely unknown interference (not constrained to lie in the above subspace). Numerical examples indicate that the proposed GLRT and Wald test can provide better detection performance than the existing detectors.
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spelling pubmed-90025352022-04-13 Distributed Target Detection in Unknown Interference Xu, Kaiming Deng, Yunkai Yu, Zhongjun Sensors (Basel) Communication Interference can degrade the detection performance of a radar system. To overcome the difficulty of target detection in unknown interference, in this paper we model the interference belonging to a subspace orthogonal to the signal subspace. We design three effective detectors for distributed target detection in unknown interference by adopting the criteria of the generalized likelihood ratio test (GLRT), the Rao test, and the Wald test. At the stage of performance evaluation, we illustrate the detection performance of the proposed detectors in the presence of completely unknown interference (not constrained to lie in the above subspace). Numerical examples indicate that the proposed GLRT and Wald test can provide better detection performance than the existing detectors. MDPI 2022-03-22 /pmc/articles/PMC9002535/ /pubmed/35408044 http://dx.doi.org/10.3390/s22072430 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Xu, Kaiming
Deng, Yunkai
Yu, Zhongjun
Distributed Target Detection in Unknown Interference
title Distributed Target Detection in Unknown Interference
title_full Distributed Target Detection in Unknown Interference
title_fullStr Distributed Target Detection in Unknown Interference
title_full_unstemmed Distributed Target Detection in Unknown Interference
title_short Distributed Target Detection in Unknown Interference
title_sort distributed target detection in unknown interference
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002535/
https://www.ncbi.nlm.nih.gov/pubmed/35408044
http://dx.doi.org/10.3390/s22072430
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AT dengyunkai distributedtargetdetectioninunknowninterference
AT yuzhongjun distributedtargetdetectioninunknowninterference