Persymmetric Adaptive Detector for FDA-MIMO Radar

In this paper, under the condition of unknown Gaussian interference-noise covariance matrix, a persymmetric adaptive detector is proposed for frequency diverse array multi-input multi-output (FDA-MIMO) radar. With prior information of the interference-noise covariance matrix structure, an unbiased estimate is first obtained for the covariance matrix, followed by the analytical expression of detection probability. Numerical results show that, the proposed persymmetric adaptive detector for FDA-MIMO radar outperforms the conventional counterpart.