Title :
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
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;
Conference_Titel :
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location :
Dresden
Print_ISBN :
978-1-4244-3435-0
Electronic_ISBN :
1938-1883
DOI :
10.1109/ICC.2009.5199516
