Joint channel tracking and symbol detection in MIMO systems via multiple model methods

Author

Jia, Yugang ; Andrieu, Christophe ; Piechocki, Robert J. ; Sandell, Magnus

Author_Institution

Centre for Commun. Res., Bristol Univ., UK

fYear

2005

fDate

5-8 June 2005

Firstpage

12

Lastpage

16

Abstract

We propose a new semi-blind joint channel tracking and symbol detection for spatial multiplexing MIMO system. The proposed algorithm is based on the generalized pseudo Bayesian algorithm (GPB) and probability data association (PDA). The purpose of the GPB algorithm is to control the size of the filtering tree and the Gaussian approximation idea behind PDA is applied to each time instant to reduce the model size. Simulation results are given to demonstrate the effectiveness of the new algorithm.

Keywords

Bayes methods; Gaussian channels; MIMO systems; approximation theory; channel estimation; filtering theory; multiplexing; probability; GPB; Gaussian approximation; PDA; filtering tree; generalized pseudo Bayesian algorithm; multiple input multiple output; multiple model method; probability data association; semi-blind joint channel tracking; spatial multiplexing MIMO system; symbol detection; Bayesian methods; Europe; Filtering; Gaussian approximation; Iterative algorithms; MIMO; Mathematical model; Mathematics; State estimation; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Advances in Wireless Communications, 2005 IEEE 6th Workshop on

Print_ISBN

0-7803-8867-4

Type

conf

DOI

10.1109/SPAWC.2005.1505862

Filename

1505862