A Blind Evolutionary Particle Filtering Detector in Flat Fading Channels
平坦衰落信道下一种基于进化粒子滤波的盲检测器

To overcome the drawbacks of samples impoverishment, an evolutionary particle filtering algorithm is proposed for blind signal detection over flat Rayleigh fading channels whose model coefficients are unknown. During the resampling of particle filtering, evolutionary programming is used. The evolutionary particle filtering algorithm is adopted to overcome the drawbacks of samples, which forms into a blind detection based in evolutionary particle filtering. It is shown through simulations that the proposed particle filtering detector maintains comparable performance with mixture Kalman filter with known model coefficients.