单载波实时WiMAX无线电盲自适应均衡算法的实验性能

2009 IEEE 17th Signal Processing and Communications Applications Conference Pub Date : 2009-04-09 DOI:10.1109/SIU.2009.5136435

A. Ozen, A. Guner, O. Çakir, E. Tugcu, B. Soysal, I. Kaya

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引用次数: 0

摘要

本文对盲自适应训练算法在实时WiMax (3.5GHz)无线信道中的实验性能进行了评价。研究了常用的盲均衡技术——恒模算法(CMA)、基于恒模算法的改进CMA (M-CMA)和归一化CMA (N-CMA)算法的码间干扰(ISI)消除和均方误差(MSE)性能。

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Experimental performances of blind adaptive equalization algorithms for single carrier real-time WiMAX radio

Experimental performances of blind adaptive training algorithms have been evaluated in real-time WiMax (3.5GHz) radio channels in this paper. Inter Symbol Interference (ISI) cancellation and Mean Square Error (MSE) performances of the most commonly used blind equalization techniques, Constant Modulus Algorithm (CMA), and CMA based modified CMA (M-CMA) and normalized CMA (N-CMA) algorithms are investigated in study.

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2009 IEEE 17th Signal Processing and Communications Applications Conference

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