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Abstract
Adaptive target detection in the presence of Gaussian interference considering a frequency diverse array multiple-input multiple-output (FDA-MIMO) radar is investigated. At the design stage, adaptive detectors are devised according to the generalized likelihood ratio test (GLRT) criterion, where the target range is assumed unknown within the radar cell. Hence, the maximum likelihood (ML) estimate of the target range under the \(H_1\) hypothesis is approximated either assuming a discrete grid of the possible values or resorting to a monopulse-like optimization procedure. Numerical results are provided to illustrate the effectiveness of the devised detectors.
Keywords
FDA-MIMO; generalized likelihood ratio test (GLRT); maximum likelihood (ML); monopulse-like refinement
Speaker
Lan Lan
Xidian University, China
Submission Author
Lan LanXidian University, China
Angela MarinoUniversity of Naples Federico II, Italy
Augusto AubryUniversita degli studi di Napoli, Italy
Antonio DeUniversity of Naples "Federico II", Italy
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