MIMO Time-Varying Channel Tracking with a Polynomial Channel Model via Particle Filtering

Author

Zheng-cong, Du ; Li-xin, Liu ; Li-Jun, Xu

Author_Institution

Sch. of Inf. & Electr. Eng., Panzhihua Univ., Panzhihua

fYear

2009

fDate

27-28 Feb. 2009

Firstpage

73

Lastpage

76

Abstract

Based on the channel modeling using polynomial, a MIMO time-varying channel tracking algorithm using particle filtering is proposed in this paper. Firstly, a state-space model for MIMO communication system is established, aiming at the non-Gaussian noise from indoor/urban communication environment, and the time-varying channel caused by Doppler frequency shift. Secondly, a polynomial model for MIMO time-varying channel is established, and then the particle filter is used for its tracking. The simulation result shows the validity of this algorithm.

Keywords

MIMO communication; filtering theory; polynomials; state-space methods; time-varying channels; Doppler frequency shift; MIMO time-varying channel tracking algorithm; multiple input multiple output systems; particle filtering; polynomial channel model; state-space model; Fading; Filtering; MIMO; Mobile communication; Particle filters; Particle tracking; Polynomials; Statistics; Time-varying channels; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Software and Networks, 2009. ICCSN '09. International Conference on

Conference_Location

Macau

Print_ISBN

978-0-7695-3522-7

Type

conf

DOI

10.1109/ICCSN.2009.26

Filename

5076814