DocumentCode :
554660
Title :
Blind equalization algorithm based on least squares support vector regressor
Author :
Huilin Yao ; Songlan Zhang ; Zhenpeng Wang
Author_Institution :
Dept. of Electr. Eng. & Autom., Luoyang Inst. of Sci. & Technol., Luoyang, China
Volume :
5
fYear :
2011
fDate :
12-14 Aug. 2011
Firstpage :
2675
Lastpage :
2678
Abstract :
Support vector machine was an effective tool for solving limited learning samples. In the paper, one new blind equalization algorithm based on least squares support vector regressor (LSSVR) was developed. In this method, an iterative reweighed quadratic programming procedure for attaining the solutions has been used in this paper and the simulation results show that it has the good generalization characteristics. The solving steps are also given and it can be generalized to nonlinear blind equalization using kernel functions. The algorithm equalizes the received base-band signals with serious inter-symbol interference. By the algorithm, this method realizes error-free transmission in typical telephone channel. Simulation results show that the proposed algorithm has better convergence performances than the constant modulus algorithm. Especially in small sample cases, the algorithm has lower computational complexity and faster convergence speed.
Keywords :
blind equalisers; computational complexity; intersymbol interference; regression analysis; support vector machines; blind equalization algorithm; computational complexity; error free transmission; faster convergence speed; intersymbol interference; iterative reweighed quadratic programming; kernel functions; least squares support vector regressor; support vector machine; Blind equalizers; Convergence; Equations; Mathematical model; Quadratic programming; Support vector machines; blind equalization; iterative reweighed quadratic programming; least squares support vector regressor; small sample;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
Type :
conf
DOI :
10.1109/EMEIT.2011.6023647
Filename :
6023647
Link To Document :
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