DocumentCode :
1956313
Title :
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
Link To Document :
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