GLRT based adaptive detection for MIMO radars

In this paper, the problem of adaptive target detection using temporal coherent pulse train in presence of clutter is considered for MIMO radars. We have formulated this problem as a hypothesis test. For clutter with unknown statistics two adaptive decision rules have been developed using two-steps generalized likelihood ratio test (GLRT). The performances of the proposed detectors have been evaluated using Monte-Carlo simulations. The results show the superiority of the MIMO radars with temporal coherent processing over the conventional phased arrays due to both angular spread and a newly presented phenomenon which is called Doppler spread in this paper.