Single-channel blind separation of MPSK and LFM interference using genetic particle filtering

A new approach is proposed for single-channel blind separation of MPSK signal and LFM interference. The proposed algorithm aims to obtain the maximum a posterior (MAP) estimate of communication symbols and unknown parameters using genetic particle filtering by establishing the state space model for the jammed signal. Specially, in order to overcome the sample impoverishment problem, genetic mechanism is introduced to the resampling process in particle filtering. Simulation results show that the proposed algorithm has better performance than the classical particle filtering, and is effective to separate MPSK signal and LFM interference with fewer particles.