Generalization of Automatic Censored Mean Level Detector (ACMLD) for MIMO radars

Constant False Alarm Rate (CFAR) processors are useful for detecting radar targets in background for which all parameters in the statistical distribution are not known and may be nonstationary. Many CFAR techniques have been proposed for conventional radars in nonhomogeneous background. One of the most robust CFAR detectors in multiple target situations is Automatic Censored Mean Level Detector (ACMLD) which does not require any prior knowledge about the number of interfering targets. In this paper, ACMLD algorithm is generalized for Multiple Input-Multiple Output (MIMO) radar. An exact expression for the false alarm probability of the proposed algorithm (M-ACMLD) is presented. Then, the performance analysis of M-ACMLD is studied in both homogeneous environment and multiple target situations.