Theoretical bounds on the estimation and prediction of multipath time-varying channels

Sergio Barbarossa, Anna Scaglione

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

10 Scopus citations

Abstract

Starting from a parametric model of time-varying multipath channels with additive white Gaussian noise, we derive the theoretical bound on the channel parameters estimation as a function of number of samples, SNR and model mis-matching errors. We use this bound to derive an approximate closed form expression of the channel mean square prediction error, subsequently used to evaluate the maximum training period. Finally, we illustrate a simple and effective method for estimating the channel parameters (path delays, amplitudes, phases and frequencies), using chirp signals as training sequences.

Original languageEnglish (US)
Title of host publicationCommunicationsSensor Array and Multichannel Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2545-2548
Number of pages4
ISBN (Electronic)0780362934
DOIs
StatePublished - Jan 1 2000
Externally publishedYes
Event25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey
Duration: Jun 5 2000Jun 9 2000

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
ISSN (Print)1520-6149

Conference

Conference25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
Country/TerritoryTurkey
CityIstanbul
Period6/5/006/9/00

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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