基于自适应模糊神经网络的噪声抵消器

Adaptive Noise Cancellation Using Adaptive Fuzzy Neural Networks Algorithm

讨论了基于自适应模糊神经网络的噪声抵消器的设计方法。自适应模糊神经网络系统具有非线性映射和自学习能力,能够用于噪声信号的非线性建模。它不仅能够获取信号的最佳估计,并且能够克服信号处理中存在的模型和噪声的不确定性、不完备性。该法设计的滤波器效果良好,并可以用于多路信号和复杂信号的噪声消除。

The Adaptive Fuzzy Neural Network is employed for adaptive noise cancellation. Adaptive network- based fuzzy inference system (ANFIS)not only has the ability of nonlinear mapping but also has the ability of self - learning. So ANFIS can be used to achieve the linear model of noise, the metod not only achieves the H2 optimal recontruction but also possesses a desired robust against the effect of uncertainties and incomplete information in signal processing. Simulation results show that the design method can obtain a better signal reconstruction performance and can be used in muiti - sensor signals and complicated signal processing.