神经Chebyshev正交多项式均衡器及自适应算法
NeuralChebyshev OrthogonalPolynom ialEqualizer and ItsAdaptive Algorithm
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摘要: 提出一种全新结构的非线性均衡器———神经Chebyshev正交多项式自适应均衡器.该均衡器由1个非线 性神经自适应滤波器和1个Chebyshev正交多项式滤波器级联而成.基于最陡下降方法,推导出了相应的自适应 算法.仿真结果表明,在线性信道中,该均衡器的均方误差(MSE)比神经自适应均衡器和二阶Volterra均衡器小; 在非线性信道中,以更为简单的结构达到了和BP算法训练的三层神经网络相似的性能.
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关键词:
- 信道均衡 /
- 自适应算法 /
- Chebyshev正交多项式 /
- 神经自适应滤波器
Abstract: A new structure of nonlinear equalizer-neural Chebyshev orthogonal polynomial adaptive equalizerwasproposed. It is composed ofa nonlinearneuraladaptive filterand aChebyshev orthogonal polynomial filter. The corresponding adaptive algorithm was derived based on the steepest descent method. Simulation results show that the proposed equalizer has less mean square error (MSE ) comparedwith the neural adaptive equalizer and the SVE ( second-order volterra equalizer ) in linear channe,l and that itcan achieve similargood performances as the 3-layered neuralnetwork trainedwith BP algorithm in the nonlinear channelwith a simpler structure.
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