Fast implementation of generalised Radon-Fourier transform for manoeuvring radar target detection

摘要

The ergodic search in the generalised Radon-Fourier transform (GRFT) may have a huge computational complexity, and blind speed side lobes (BSSL) in the GRFT can lead to a high false alarm rate. Based on some specific relationships of the BSSL and the target??s main lobe, an improved particle swarm optimisation is presented for the fast implementation of GRFT, and the BSSL problem can be solved simultaneously. Some real data experimental results are provided to verify the effectiveness and efficiency of this method.