Title :
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
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;
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
DOI :
10.1109/JCAI.2009.26
