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.
['Haiquan Zhao', 'Jiashu Zhang', 'Mingyuan Xie', 'Xiangping Zeng']
Neural Legendre Orthogonal Polynomial Adaptive Equalizer