Paper Info
Title
Iterative receivers with joint channel and frequency offset estimation in time-variant fading channels
Abstract
We develop iterative turbo receivers for time-variant fading channels which jointly perform channel and frequency offset estimation together with data detection and decoding. Three versions of the joint estimator, the Bayesian, the maximum likelihood and the regularised-maximum likelihood are presented depending on how much knowledge of channel statistics is available. The estimation and detection are based on the basis expansion model of the fading time variations and use the di-chotomous search frequency estimation technique. Soft information generated in the turbo decoder is used to improve the quality of detection in the subsequent iterations. Simulation results show that the proposed receivers provide as good performance as the corresponding ones operating with perfect knowledge of the frequency offset.
Year
DOI
Venue
2010
10.1109/ISWCS.2010.5624324
Wireless Communication Systems
Keywords
Field
DocType
channel estimation,fading channels,frequency estimation,iterative decoding,radio receivers,turbo codes,Bayesian method,channel- frequency offset estimation,data detection,decoding,iterative turbo receivers,maximum likelihood detection,time-variant fading channels,turbo decoder,B-spline,Bayesian estimation,Iterative turbo receiver,joint channel and frequency offset estimation,maximum likelihood estimation,time-variant channel
Turbo,Fading,Computer science,Turbo code,Frequency offset,Algorithm,Communication channel,Real-time computing,Decoding methods,Statistics,Bayes estimator,Estimator
Conference
ISSN
ISBN
Citations 
2154-0217
978-1-4244-6315-2
0
PageRank 
References 
Authors
0.34
8
2
Name
Order
Citations
PageRank
Rami N. Khal100.34
Yuriy V. Zakharov2615.64