【摘要】 首先给出了多维小波网络的结构及其随机梯度学习算法 ,提出了基于小波网络的 MQAM数字通信自适应均衡器 .仿真结果表明 :该均衡器对于 MQAM数字信号非线性信道的均衡 ,其性能明显优于传统的基于 L MS和 RL S算法的线性均衡器和基于 RL S算法的判决反馈均衡器 ,且性能稍好于基于 BP网络的均衡器更多还原

【Abstract】 In this paper, a novel wavelet network based adaptive equalizer (WNBAE) is presented. The structure and stochastic gradient learning algorithm of the WNBAE is given. In the MQAM digital communication reception systems over nonlinear channels the proposed WNBAE has better performance than that of the conventional linear transversal equalizer based on the LMS or the RLS algorithms, as well as that of the decision feedback equalizer based on the RLS algorithm. It outperforms slightly the backpropagation network based adaptive equalizer. Several simulations are performed to evaluate the behavior of the WNBAE.更多还原