Title
Frequency estimation in multipath Rayleigh-sparse-fading channels
Abstract
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.
Year
DOI
Venue
2004
10.1109/TWC.2004.833465
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
AWGN channels,Rayleigh channels,channel estimation,frequency estimation,matrix algebra,maximum likelihood estimation,mobile radio,multipath channels,nonlinear functions,Cramer-Rao lower bound,additive white Gaussian noise,autocorrelation matrix,channel estimation,diagonal matrix,frequency-estimation,maximum likelihood estimation,mobile channel,multipath Rayleigh-sparse-fading channel,nonlinear function,pilot signal,signal-to-noise ratio,sparse impulse response,Fading channels,ML,Rayleigh channels,estimation,frequency estimation,maximum likelihood,multipath channels
Multipath propagation,Fading,Upper and lower bounds,Autocorrelation matrix,Algorithm,Real-time computing,Impulse (physics),Statistics,Diagonal matrix,Pilot signal,Mathematics,Estimator
Journal
Volume
Issue
ISSN
3
5
1536-1276
Citations 
PageRank 
References 
3
0.39
4
Authors
3
Name
Order
Citations
PageRank
Yuriy V. Zakharov1615.64
Vladimir M. Baronkin2213.21
T. C. Tozer320427.92