White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

Frequency estimation in multipath rayleigh-sparse-fading channels

Zakharov, Y V, Baronkin, V M and Tozer, T C (2004) Frequency estimation in multipath rayleigh-sparse-fading channels. IEEE Transactions on Wireless Communications. pp. 1711-1720. ISSN 1536-1276

Text (zakharovyv2.pdf)

Download (479Kb)


Maximum-likelihood (ML) data-aided frequency estimation in multipath Rayleigh-fading channels with sparse impulse responses is investigated. We solve this problem under the assumption that the autocorrelation matrix of the pilot signal can be approximated by a diagonal matrix, the fading of different path amplitudes are independent from each other, and the additive noise is white and Gaussian. The ML frequency estimator is shown to be based on combining nonlinearly transformed path periodograms. We have derived the nonlinear function for the two cases: known and unknown fading variances. The new frequency estimators lead, in particular cases, to known ML frequency estimators for nonsparse multipath fading channels. The use of a priori information about the mean number of paths in the channel allows a significant improvement of the accuracy performance. Exploiting the sparseness of the channel impulse response is shown to significantly reduce the threshold signal-to-noise ratio at which the frequency error departs from the Cramer-Rao lower bound. However, precise knowledge of the channel sparseness is not required in order to realize this improvement.

Item Type: Article
Copyright, Publisher and Additional Information: Copyright © 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: fading channels,frequency estimation,maximum likelihood (ML) estimation,multipath channels,Rayleigh channels
Institution: The University of York
Academic Units: The University of York > Electronics (York)
Depositing User: Sherpa Assistant
Date Deposited: 30 Sep 2005
Last Modified: 18 Apr 2016 19:22
Published Version: http://dx.doi.org/10.1109/TWC.2004.833465
Status: Published
Refereed: Yes
URI: http://eprints.whiterose.ac.uk/id/eprint/694

Actions (repository staff only: login required)