Estimation of block-fading channels with reduced-rank correlation matrix

Osvaldo Simeone, U. Spagnolini

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

2 Scopus citations

Abstract

In block-fading transmission, the discrete-time taps of time-varying channels can be generally modelled as a stationary random vector process with unknown and rank-deficient correlation matrix. The model applies to single/ multi-antenna systems for single/multi-carrier modulation. In this paper, we propose a hybrid estimator that sequentially estimates the (deterministic) rank-deficient channel correlation matrix and the (random) channel taps. In addition, we derive a bound on the corresponding estimation error by adapting the Cramer Rao bound (CRB) to the case of mixed deterministic and random parameters (Hybrid CRB). Finally, we assess that the proposed estimator is statistically efficient through comparison with the Hybrid CRB.

Original languageEnglish (US)
Title of host publicationForty-first Annual Conference on Information Sciences and Systems, CISS 2007 - Proceedings
Pages490-493
Number of pages4
DOIs
StatePublished - Dec 1 2007
Event41st Annual Conference on Information Sciences and Systems, CISS 2007 - Baltimore, MD, United States
Duration: Mar 14 2007Mar 16 2007

Publication series

NameForty-first Annual Conference on Information Sciences and Systems, CISS 2007 - Proceedings

Other

Other41st Annual Conference on Information Sciences and Systems, CISS 2007
CountryUnited States
CityBaltimore, MD
Period3/14/073/16/07

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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