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Distributed Target Detection in Unknown Interference.
Xu, Kaiming; Deng, Yunkai; Yu, Zhongjun.
Afiliação
  • Xu K; The Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
  • Deng Y; The School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China.
  • Yu Z; The Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Sensors (Basel) ; 22(7)2022 Mar 22.
Article em En | MEDLINE | ID: mdl-35408044
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radar Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radar Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article