Adaptive Detection and Interference Rejection for Multiple Point-Like Radar Targets

We present an adaptive algorithm to detect multiple point-like radar targets embedded in correlated Gaussian noise. The proposed detector generalizes the ABORT idea to the detection of multiple targets [1]. More precisely, it relies to the so-called two-step Generalized Likelihood Ratio Test (GLRT) design procedure, which makes it possible to get rid of distinct secondary data, and, remarkably, guarantees the Constant False Alarm Rate (CFAR) property. A preliminary performance assessment, conducted resorting to simulated data, has shown that the newlyproposed detector exhibits better rejection capabilities of mismatch signals than detector [2], at the price of a small performance loss.