A New Channel Estimation Method Based on Pilot-aided and Local Adaptive Least Squares Support Vector Regression in Software Radio OFDM System

Author

Wu Dingxue ; Fan Wenping

Author_Institution

Comput. Dept., Huanggang Normal Univ., HuangGang, China

fYear

2009

fDate

25-26 April 2009

Firstpage

349

Lastpage

352

Abstract

In order to increase the transmission efficiency of OFDM system, considering the special structure of software radio OFDM system, this paper present a local adaptive least squares support vector regression (LS_SVM) formulation specifically adapted to a pilots-based OFDM signal,and proposes a new method for channel estimation with pilot assisted symbol modulation expectation. The simulation result shows that the new method can reduce the complexity and iteration times, and it has also still lower BER compared to traditional method.

Keywords

OFDM modulation; channel estimation; least squares approximations; regression analysis; software radio; support vector machines; BER; OFDM system; adaptive least squares; channel estimation; local adaptive least squares support vector regression; software radio; support vector regression; symbol modulation expectation; Bit error rate; Channel estimation; Cities and towns; Demodulation; Fading; Interpolation; Least squares approximation; Mathematics; OFDM modulation; Software radio; LS_SVM; OFDM system; channel estimation; pilot; software radio;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence, 2009. JCAI '09. International Joint Conference on

Conference_Location

Hainan Island

Print_ISBN

978-0-7695-3615-6

Type

conf

DOI

10.1109/JCAI.2009.26

Filename

5159013