THE ELEVENTH IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (IEEE SAM2020)

175 / 2019-12-16 11:04:00

Design of adaptive detectors for FDA-MIMO radar

FDA-MIMO; generalized likelihood ratio test (GLRT); maximum likelihood (ML); monopulse-like refinement

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.