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Neural Legendre Orthogonal Polynomial Adaptive Equalizer
Beijing, China August 30-September 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.318First International Conference on Inn ...
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Haiquan Zhao, Chengdu University of Information Technology, China
Jiashu Zhang, Southwest Jiaotong University, China
Mingyuan Xie, Chengdu University of Information Technology, China
Xiangping Zeng, Chengdu University of Information Technology, China
A novel structure of neural network legendre orthogonal Equalizers is proposed when dealing with severe linear and nonlinear distortion. The equalizer is presented based on characteristic of single layer neural network and structure of legendre orthogonal polynomial after the analysis of few parameter nonlinear filter, and adaptive algorithm is deduced with NLMS. To support the analysis, simulation results for nonlinear channel are provided.
Citation:
Haiquan Zhao, Jiashu Zhang, Mingyuan Xie, Xiangping Zeng, "Neural Legendre Orthogonal Polynomial Adaptive Equalizer," icicic, vol. 2, pp.710-713, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006
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