The Modified Bayesian Cramer-Rao Bound for MIMO Channel Tracking

Author

Chiu, Lin-Kai ; Wu, Sau-Hsuan

Author_Institution

Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

fYear

2009

fDate

14-18 June 2009

Firstpage

1

Lastpage

5

Abstract

The modified Bayesian Cramer-Rao bound (MBCRB) to the mean squared error (MSE) of multi-input and multi-output (MIMO) channel estimation under discrete nuisance parameters are studied in this work. A recursive formula is provided for the computation of the MBCRB in time-varying MIMO Rayleigh fading channels. Under the assumption that channel coefficients of the MIMO system are independent and identically distributed, the MBCRB for MIMO channel estimation is shown to be the same to the single-input and single-output (SISO) system. Based on the MBCRB, the MSE of Kalman channel tracking is investigated for various MIMO channel configurations with different orders of the channel model.

Keywords

Bayes methods; Kalman filters; MIMO communication; Rayleigh channels; channel estimation; mean square error methods; time-varying channels; tracking filters; Kalman channel tracking; MIMO channel tracking; SISO system; channel estimation; discrete nuisance parameter; mean squared error method; modified Bayesian Cramer-Rao bound; recursive formula; time-varying MIMO Rayleigh fading channel; Bayesian methods; Channel estimation; Communications Society; Fading; Integrated circuit technology; Kalman filters; MIMO; Maximum likelihood estimation; Parameter estimation; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2009. ICC '09. IEEE International Conference on

Conference_Location

Dresden

ISSN

1938-1883

Print_ISBN

978-1-4244-3435-0

Electronic_ISBN

1938-1883

Type

conf

DOI

10.1109/ICC.2009.5199516

Filename

5199516