Title
Support vector machines for robust channel estimation in OFDM
Abstract
A new support vector machine (SVM) algorithm for coherent robust demodulation in orthogonal frequency-division multiplexing (OFDM) systems is proposed. We present a complex regression SVM formulation specifically adapted to a pilots-based OFDM signal. This novel proposal provides a simpler scheme than an SVM classification method. The feasibility of our approach is substantiated by computer simula...
Year
DOI
Venue
2006
10.1109/LSP.2006.871862
IEEE Signal Processing Letters
Keywords
Field
DocType
Support vector machines,Robustness,Channel estimation,OFDM,Support vector machine classification,Demodulation,Frequency division multiplexing,Proposals,Computer simulation,Cost function
Demodulation,Frequency-division multiplexing,Robustness (computer science),Impulse noise,Artificial intelligence,Pattern recognition,Support vector machine,Algorithm,Speech recognition,WiMAX,Multiplexing,Mathematics,Orthogonal frequency-division multiplexing
Journal
Volume
Issue
ISSN
13
7
1070-9908
Citations 
PageRank 
References 
19
1.10
11
Authors
4
Name
Order
Citations
PageRank
M. J. F.-G. Garcia1191.10
J. L. Rojo-Alvarez2342.83
F. Alonso-Atienza3311.96
M. Martínez-Ramón4685.93