Title :
An Improved Blind Particle Filtering Algorithm in Flat Fading Channel
Author :
Hongyan, Zhang ; Fan, Donghong ; Bao, Jinghai
Author_Institution :
Dept. of Phys. & Electron. Inf., Hezhou Univ., Hezhou, China
Abstract :
An evolutionary particle filtering algorithm is proposed for blind signal detection in flat Rayleigh fading channels who´s model coefficients are unknown. The sample impoverishment of state boundaries without changing longtime can be relieved. The stochastic M-algorithm (SMA) is used to estimate the signal sent in flat fading channel. The simulation shows the proposed particle filtering algorithm upholds comparable performance with mixture Kalman filter.
Keywords :
Rayleigh channels; blind source separation; evolutionary computation; particle filtering (numerical methods); signal detection; stochastic processes; blind particle filtering; blind signal detection; evolutionary particle filtering; flat Rayleigh fading channel; stochastic M-algorithm; Additive noise; Detection algorithms; Fading; Filtering algorithms; Physics; Signal detection; State estimation; State-space methods; Stochastic processes; Wireless communication; autoregressive (AR) model; flat fading channels; particle filtering;
Conference_Titel :
Wearable Computing Systems (APWCS), 2010 Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-6467-8
Electronic_ISBN :
978-1-4244-6468-5
DOI :
10.1109/APWCS.2010.72
