Blind per tone equalization of multilevel signals using support vector machines for OFDM in wireless communication

被引：5
|
作者：
Naeeni, Babak Haji Bagher [1 ]
Amindavar, Hamidreza [2 ]
Bakhshi, Hamidreza [3 ]
机构：
[1] Islamic Azad Univ, Dept Elect Engn, Sci & Res Branch, Tehran, Iran
[2] Amir Kabir Univ Technol, Dept Elect Engn, Tehran, Iran
[3] Shahed Univ, Dept Elect Engn, Tehran, Iran
来源：
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS | 2010年 / 64卷 / 02期
关键词：
Constant modulus algorithm (CMA); Multi-modules algorithm (MMA); Support vector machine (SVM); Orthogonal frequencey division multiplexing (OFDM); Metropolitan area network (MAN);
D O I：
10.1016/j.aeue.2008.12.004
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We present an efficient support vector machine (SVM)-based blind per tone equalization for OFDM systems. Blind per tone equalization using constant modulus algorithm (CMA) and multi-modules algorithm (MMA) are used as the comparison benchmark. The SVM-based cost function utilizes a CMA-like error function and the solution is obtained by means of an iterative re-weighted least squares algorithm (IRWLS). Moreover, like CMA, the error function allows to extend the method to multilevel modulations. In terms of bit error rate (BER), simulation experiments show that the blind per tone equalization using SVM performs better than blind per tone equalization using CMA and MMA. (C) 2009 Elsevier GmbH. All rights reserved.
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页码：186 / 190
页数：5
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