Lower bounds on the channel estimation error for fast-varying frequency-selective Rayleigh MIMO channels

O. Simeone, U. Spagnolini

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

In this paper, we derive a lower bound on the MSB matrix of training-based channel estimators for MIMO systems over fast-varying fading channels. To this end, we consider an ideal estimator that is able to estimate the long-term features of the channel (e.g., second order statistics, delays,..) with high accuracy while tracking the fast-varying fading fluctuations in optimum (MMSE) way. The bound on the MSB matrix is a valuable tool as a reference to assess the performance of any proposed estimator and it is proved to reduce to known results for simplified settings.

Original languageEnglish (US)
Pages (from-to)69-72
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
StatePublished - Sep 25 2003
Externally publishedYes
Event2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: Apr 6 2003Apr 10 2003

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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