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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9002535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT xukaiming distributedtargetdetectioninunknowninterference AT dengyunkai distributedtargetdetectioninunknowninterference AT yuzhongjun distributedtargetdetectioninunknowninterference |