GLRT-Based CFAR Detection in Passive Bistatic Radar

The work presented here addresses the problem of detecting a target in a passive bistatic radar (PBR) in the presence of interference signals, including receiver noise, direct signal, multipath/clutter echoes, and interfering targets. To this end, after outlining the model of the detection problem in the surveillance channel as a composite hypothesis test, a generalized likelihood ratio test (GLRT) is derived. Its performance is expressed in the closed forms for both the interference-alone case, the probability of false alarm, and the signal-plus-interference case, the probability of detection. A thorough performance assessment is also given, and the results show the superiority of the proposed detector in detection performance and false alarm regulation, and so the proper cancellation of the direct signal, multipath/clutter echoes, and interfering targets occur.