Detection of UAV target based on Continuous Radon transform and Matched
filtering process for Passive Bistatic Radar
Abstract
Long-time integration technique is an effective way of improving target
detection performance for unmanned aerial vehicle (UAV) in the passive
bistatic radar (PBR) field, while range migration (RM) and Doppler
frequency migration (DFM) may have a major effect on the integration
capability as a result of target maneuverability. This letter proposed
an innovative long-time coherent integration approach, regarded as
Continuous Radon-matched filtering process (CRMFP), for low-observable
UAV target in PBR. It not only mitigates the RM by collaborative
research in range and velocity dimensions but also compensates the DFM
and ensures the coherent integration through the matched filtering
process (MFP). Real-life data following detailed analysis verify that
the proposed method can overcome the Doppler mismatch influence and
acquire comparable detection performance.