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

fYear

2010

fDate

17-18 April 2010

Firstpage

259

Lastpage

261

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/APWCS.2010.72

Filename

5480463