Evaluation of adaptive filter algorithms for clutter cancellation in Passive Bistatic Radar

Passive Bistatic Radar exploits the illumination of a scene by a local communications transmitter in order to perform radar processing without dedicated transmitter hardware. The direct transmission and strong stationary clutter are often present in the surveillance signal, reducing dynamic range and masking returns from targets. In this study various adaptive filters are used to estimate the direct path and clutter components and cancel them from the signal. Performance metrics particular to radar processing are defined, and the investigated filters are evaluated by application to Passive Bistatic Radar with real DVB-T data.