Title :
Support vector machines for robust channel estimation in OFDM
Author :
García, M. Julia Fernández-Getino ; Rojo-Álvarez, José Luis ; Alonso-Atienza, Felipe ; Martínez-Ramón, Manel
Author_Institution :
Dept. of Signal Theor. & Commun., Univ. Carlos III de Madrid
fDate :
7/1/2006 12:00:00 AM
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 simulation results obtained for IEEE 802.16 broadband fixed wireless channel models. These experiments allow to scrutinize the performance of the OFDM-SVM system and the suitability of the epsiv-Huber cost function, in the presence of non-Gaussian impulse noise interfering with OFDM pilot symbols
Keywords :
OFDM modulation; WiMax; broadband networks; channel estimation; demodulation; impulse noise; interference (signal); signal classification; support vector machines; wireless channels; IEEE 802.16 broadband model; SVM; channel estimation; demodulation; feasibility; nonGaussian impulse noise interference; orthogonal frequency-division multiplexing system; pilots-based OFDM signal; support vector machine algorithm; wireless channel; Channel estimation; Computer simulation; Cost function; Demodulation; Frequency division multiplexing; OFDM; Proposals; Robustness; Support vector machine classification; Support vector machines; Channel estimation; complex; orthogonal frequency-division multiplexing (OFDM); robust estimation; support vector machine (SVM);
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2006.871862
