Efficient Approach of Generalized RFT Based on PSO

The generalized Radon-Fourier transform (GRFT) has been recently proposed for radar maneuvering weak target detection via long-time coherent integration. It is a likelihood ratio test (LRT) detector in a noisy background, but its computational burden can be extremely high due to the needed multi-dimensional search. This paper proposes a fast implementation of the GRFT based on an improved particle swarm optimization (PSO). This method uses the relation of the blind speed side lobe (BSSL) and target´s main lobe to find the target´s location in a much more efficient way, and the local convergence to BSSL problem can also be solved. Detailed numerical experiments are also provided to demonstrate the effectiveness and efficiency of the proposed method.