Radar Manoeuvring Target Detection Based on RANSAC Algorithm

ABSTRACT This letter addresses the challenge of detecting manoeuvring targets in radar systems, where range migration (RM) and Doppler frequency migration (DFM) significantly degrade detection performance. To overcome these issues, we propose a robust RANSAC‐based algorithm that eliminates the need for complex DFM compensation. The method first corrects RM using keystone transform (KT), followed by Fourier transform (FT) for coherent integration. A low‐threshold constant false alarm rate (CFAR) detector is then employed to suppress noise while preserving potential target points. The key innovation lies in using the RANSAC algorithm to robustly identify and fit target scattering points from cluttered data, effectively distinguishing true targets from false alarms. Simulation results validate the method's superior robustness and detection capability in challenging scenarios.