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.
GLRT-Based CFAR Detection in Passive Bistatic Radar
IEEE Transactions on Aerospace and Electronic Systems ; 49 , 1 ; 134-159
2013-01-01
7360964 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
GLRT-Based Adaptive Target Detection in FDA-MIMO Radar
IEEE | 2021
|Clutter removal for Wi-Fi-based passive bistatic radar
IEEE | 2020
|