Adaptive MIMO time-varying channel equalization using particle filtering

Author

Zheng-cong, Du ; Bin, Tang ; Ke, Li

Author_Institution

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

Volume

1

fYear

2005

fDate

23-26 Sept. 2005

Firstpage

123

Lastpage

126

Abstract

This paper addresses the problem of semi-blind multi-input multi-output (MIMO) equalization of non-Gaussian time-varying channels by employing particle filter methods. Based on the Middleton Class A noise model, we derive a state-space model that characterizes the behavior of the channel in time. The channel estimation and tracking are performed using particle filter, and a decision feedback equalizer derived using MMSE criterion is used to perform the equalization. Simulation result shows the validity of the proposed algorithm.

Keywords

MIMO systems; adaptive equalisers; channel estimation; decision feedback equalisers; least mean squares methods; particle filtering (numerical methods); time-varying channels; wireless channels; MMSE criterion; adaptive MIMO time-varying channel equalization; channel estimation; decision feedback equalizer; multiinput multioutput equalization; nonGaussian channels; particle filtering; state-space model; Adaptive equalizers; Adaptive filters; Channel estimation; Decision feedback equalizers; Filtering; MIMO; Particle filters; Particle tracking; Time-varying channels; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2005. Proceedings. 2005 International Conference on

Print_ISBN

0-7803-9335-X

Type

conf

DOI

10.1109/WCNM.2005.1543998

Filename

1543998