The modified Bayesian Cramér-Rao bound for MIMO channel tracking

Lin Kai Chiu*, Sau-Hsuan Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 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 languageEnglish
Title of host publicationProceedings - 2009 IEEE International Conference on Communications, ICC 2009
DOIs
StatePublished - 19 Nov 2009
Event2009 IEEE International Conference on Communications, ICC 2009 - Dresden, Germany
Duration: 14 Jun 200918 Jun 2009

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Conference

Conference2009 IEEE International Conference on Communications, ICC 2009
CountryGermany
CityDresden
Period14/06/0918/06/09

Keywords

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

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    Chiu, L. K., & Wu, S-H. (2009). The modified Bayesian Cramér-Rao bound for MIMO channel tracking. In Proceedings - 2009 IEEE International Conference on Communications, ICC 2009 [5199516] (IEEE International Conference on Communications). https://doi.org/10.1109/ICC.2009.5199516