The modified Bayesian Cramér-Rao bound for MIMO channel tracking

Lin Kai Chiu; Sau-Hsuan Wu

doi:10.1109/ICC.2009.5199516

The modified Bayesian Cramér-Rao bound for MIMO channel tracking

Lin Kai Chiu^*, Sau-Hsuan Wu

^*Corresponding author for this work

Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

The modified Bayesian Cramér-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.

Original language	English
Title of host publication	Proceedings - 2009 IEEE International Conference on Communications, ICC 2009
DOIs	https://doi.org/10.1109/ICC.2009.5199516
State	Published - 19 Nov 2009
Event	2009 IEEE International Conference on Communications, ICC 2009 - Dresden, Germany Duration: 14 Jun 2009 → 18 Jun 2009

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	0536-1486

Conference

Conference	2009 IEEE International Conference on Communications, ICC 2009
Country/Territory	Germany
City	Dresden
Period	14/06/09 → 18/06/09

Keywords

Joint estimation and detection
Kalman filter
MIMO channel tracking
Modified Cramér-Rao bound

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10.1109/ICC.2009.5199516

Cite this

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title = "The modified Bayesian Cram{\'e}r-Rao bound for MIMO channel tracking",

abstract = "The modified Bayesian Cram{\'e}r-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 = "Joint estimation and detection, Kalman filter, MIMO channel tracking, Modified Cram{\'e}r-Rao bound",

author = "Chiu, {Lin Kai} and Sau-Hsuan Wu",

year = "2009",

month = nov,

day = "19",

doi = "10.1109/ICC.2009.5199516",

language = "English",

isbn = "9781424434350",

series = "IEEE International Conference on Communications",

booktitle = "Proceedings - 2009 IEEE International Conference on Communications, ICC 2009",

note = "2009 IEEE International Conference on Communications, ICC 2009 ; Conference date: 14-06-2009 Through 18-06-2009",

}

TY - GEN

T1 - The modified Bayesian Cramér-Rao bound for MIMO channel tracking

AU - Chiu, Lin Kai

AU - Wu, Sau-Hsuan

PY - 2009/11/19

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N2 - The modified Bayesian Cramér-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.

AB - The modified Bayesian Cramér-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.

KW - Joint estimation and detection

KW - Kalman filter

KW - MIMO channel tracking

KW - Modified Cramér-Rao bound

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U2 - 10.1109/ICC.2009.5199516

DO - 10.1109/ICC.2009.5199516

M3 - Conference contribution

AN - SCOPUS:70449493446

SN - 9781424434350

T3 - IEEE International Conference on Communications

BT - Proceedings - 2009 IEEE International Conference on Communications, ICC 2009

T2 - 2009 IEEE International Conference on Communications, ICC 2009

Y2 - 14 June 2009 through 18 June 2009

ER -

The modified Bayesian Cramér-Rao bound for MIMO channel tracking

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