Blind Equalization Using a Hybrid Algorithm of Multilayer Neural Network

Liang Qilian; Zhou Zheng; Liu Zemin

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Blind Equalization Using a Hybrid Algorithm of Multilayer Neural Network

机译：多层神经网络混合算法的盲均衡

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摘要

A novel blind equalization scheme based on multilayer neural network and Higher Order Cumulants (HOC) is proposed in the paper. The training of the neural network uses a new hybrid algorithm which has strict convex character (after a threshold) and converges much faster than the CMA algorithm. The inverse channel is built on the basis of the estimated channel and the training of neural network. The scheme can be used in nonlinear and time varying channel and to deal with PAM or QAM signals. Simulation results show that it performs well for blind equalization.

机译：提出了一种基于多层神经网络和高阶累积量（HOC）的盲均衡方案。神经网络的训练使用一种新的混合算法，该算法具有严格的凸特征（在阈值之后），并且收敛速度比CMA算法快得多。逆通道是在估计通道和神经网络训练的基础上构建的。该方案可用于非线性和时变信道，并处理PAM或QAM信号。仿真结果表明，该算法在盲均衡中表现良好。

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来源
《High Technology Letters》 |1996年第1期|p.47-50|共4页
作者
Liang Qilian; Zhou Zheng; Liu Zemin;
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作者单位

Radio Engineering Department, Beijing University of Posts & Telecom. Beijing 100088, P.R. China;

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原文格式 PDF
正文语种 eng
中图分类工业技术;自然科学总论;
关键词
blind equalization; multilayer neural network; higher order cumulants; hybrid algorithm; convex character;

机译：盲均衡;多层神经网络;高阶累积量;混合算法;凸性;

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专利

1. Blind Equalization Using a Hybrid Algorithm of Multilayer Neural Network [J] . 梁启联高技术通讯：英文版 . 1996,第001期

机译：使用多层神经网络的混合算法盲均衡
2. Nonlinear blind equalization schemes using complex-valued multilayer feedforward neural networks [J] . Cheolwoo You, Daesik Hong IEEE Transactions on Neural Networks . 1998,第6期

机译：使用复值多层前馈神经网络的非线性盲均衡方案
3. A multilayer complex neural network training algorithm and its application in adaptive equalization [J] . Li Chunguang, Liao Xiiaofeng, Wu Zhongfu Journal of Electronics (CHINA) . 2001,第4期

机译：多层复杂神经网络训练算法及其在自适应均衡中的应用
4. Blind equalization using higher order statistics and neural networks: a comparison between multilayer feedforward network and radial basis function network [C] . Li Rui, Saratchandran, P. Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on . 1999

机译：使用高阶统计量和神经网络进行盲均衡：多层前馈网络和径向基函数网络的比较
5. Selecting neural network topologies: A hybrid approach combining genetic algorithms and neural networks. [D] . Taylor, Christopher M. 2005

机译：选择神经网络拓扑：结合遗传算法和神经网络的混合方法。
6. An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks [O] . Xiurui Xie, Hong Qu, Guisong Liu, -1

机译：多层尖峰神经网络的一种有效的有监督训练算法。
7. Performance comparison of blind and non-blind channel equalizers using artificial neural networks [O] . Ranhotra Sarvraj Singh, Kumar Atul, Magarini Maurizio, 2017

机译：使用人工神经网络的盲和非盲信道均衡器的性能比较

Blind Equalization Using a Hybrid Algorithm of Multilayer Neural Network

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