Title
Enhanced channel estimation using superimposed training based on universal basis expansion
Abstract
In this correspondence, an approach to enhance the quality of superimposed training (ST) based channel estimation procedures is proposed. The approach is based on postprocessing the estimated channel. This postprocessing is performed with the projection of the estimated channel onto a set of orthogonal functions known as the Universal Basis (UB), that were defined in [A. G. Orozco-Lugo, R. Parra-Michel, D. McLemon, and V. Kontorovitch, "Enhancing the Performance of the CR Blind Channel Estimation Algorithm Using the Karhunen-Loève Expansion," Proceedings of the ICASSP, May 2002, pp. III-2653-III-2656]. The projection leads to improved channel estimation when compared to raw ST methods. We demonstrate the enhanced performance of the proposed technique by means of both theoretical formulas and simulation results, focusing on data dependent ST.
Year
DOI
Venue
2009
10.1109/TSP.2008.2010645
IEEE Transactions on Signal Processing
Keywords
Field
DocType
channel estimation,digital communication,channel estimation,digital communication system,raw ST method,superimposed training,universal basis expansion,Channel estimation,DDST,orthogonal basis expansion,superimposed training,universal basis
Signal processing,Orthogonal functions,Digital filter,Control theory,Communication channel,Algorithm,Speech recognition,Bandwidth (signal processing),Estimation theory,Matched filter,Mathematics,Bit error rate
Journal
Volume
Issue
ISSN
57
3
1053-587X
Citations 
PageRank 
References 
13
0.70
6
Authors
4
Name
Order
Citations
PageRank
Roberto Carrasco-Alvarez1285.80
R. Parra-Michel2235.19
Aldo G. Orozco-Lugo311913.72
Jitendra K. Tugnait4444130.56