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This paper addresses the CFAR target detection in FM-based passive bistatic radars as a composite hypothesis testing problem, using the mixed signal model. The corresponding generalized likelihood ratio test (GLRT) is derived. It has less computational requirements with respect to the conventional GLRT-based detector, previously developed in the literature, due to the decrease in the row dimension of the interference matrix. The proposed detector is computationally efficient for tracking or short-range-radar applications in which a few range cells are surveyed. The theoretical and simulationbased analysis of detection performance and a thorough discussion on the computational complexity compared with that of the existing detectors are also provided.

MIXED SIGNAL-BASED GLR DETECTOR FOR FM PASSIVE BISTATIC RADAR TARGET DETECTION