文章基本信息

标题：Nonlinear Stationary Channel Equalization of QAM Signals using Multiplicative Neuron Model
作者：Kavita Burse ; R. N. Yadav ; S. C. Shrivastava 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2009
卷号：9
期号：5
页码：273-279
出版社：International Journal of Computer Science and Network Security
摘要：A novel feed forward multiplicative neural network architecture with optimum number of nodes is used for adaptive channel equalization in this paper.The replacement of summation at each node by multiplication results in more powerful mapping because of its capability of processing higher-order information from training data. Performance comparison with Chebyshev neural network show that the proposed equalizer provides satisfactory results in terms of mean square error convergence curves and bit error rate performance at various levels of signal to noise ratios.
关键词：Channel equalization; 4-QAM signal; multiplicative neuron; feed forward neural network