MIMO time-varying channel tracking using annealed particle filtering

Author

Du Zheng-Cong ; Bin, Tang ; Ke, Le

Author_Institution

Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

1

fYear

2005

Firstpage

219

Abstract

A new algorithm is proposed using a sequential Monte Carlo method; it is robust even in nonlinear and non-Gaussian environments. In conjunction with current detection algorithms for tracking the channel matrix, the new algorithm improves the performance of the MIMO system under time-varying non-Gaussian channels due to Doppler shifts and carrier frequency offsets. Simulation results show that the proposed scheme exhibits robustness to time-selectivity with a few training symbols.

Keywords

Doppler shift; MIMO systems; Monte Carlo methods; filtering theory; indoor radio; nonlinear filters; signal detection; time-varying channels; Doppler shifts; MIMO time-varying channel tracking; annealed particle filtering; carrier frequency offsets; channel matrix; detection algorithms; indoor wireless communications; nonGaussian channels; sequential Monte Carlo method; time-selectivity; Annealing; Detection algorithms; Doppler shift; Filtering; Frequency; MIMO; Particle tracking; Robustness; Time varying systems; Time-varying channels;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems, 2005. Proceedings. 2005 International Conference on

Print_ISBN

0-7803-9015-6

Type

conf

DOI

10.1109/ICCCAS.2005.1493397

Filename

1493397