NOISE REDUCTION FOR FAST FADING CHANNEL BY RECURRENT LEAST SQUARES SUPPORT VECTOR MACHINES IN EMBEDDING PHASE SPACES  

作　　者：Xiang Zheng Zhang Taiyi Sun Jiancheng 

机构地区：[1]Dept of lnformation and Communication Engineering, Xi ＇an Jiaotong University, Xi ＇an 710049, China

出　　处：《Journal of Electronics(China)》2006年第6期926-928,共3页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No.60102005).

摘　　要：A new strategy for noise reduction of fast fading channel is presented. Firstly, more information is acquired utilizing the reconstructed embedding phase space. Then, based on the Recurrent Least Squares Sup-port Vector Machines (RLS-SVM), noise reduction of the fast fading channel is realized. This filtering tech-nique does not make use of the spectral contents of the signal. Based on the stability and the fractal of the cha-otic attractor, the RLS-SVM algorithm is a better candidate for the nonlinear time series noise-reduction. The simulation results shows that better noise-reduction performance is acquired when the signal to noise ratio is 12dB.A new strategy for noise reduction of fast fading channel is presented. Firstly, more information is acquired utilizing the reconstructed embedding phase space. Then, based on the Recurrent Least Squares Support Vector Machines （RLS-SVM）, noise reduction of the fast fading channel is realized. This filtering technique does not make use of the spectral contents of the signal. Based on the stability and the fractal of the chaotic attractor, the RLS-SVM algorithm is a better candidate for the nonlinear time series noise-reduction. The simulation results shows that better noise-reduction performance is acquired when the signal to noise ratio is 12dB.

关 键 词：Fading channel Noise reduction Support Vector Machines （SVM） Chaotic attractor 

分 类 号：TN911[电子电信—通信与信息系统]