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基于自适应模糊神经网络的噪声抵消器
引用本文:伦淑娴,张化光,李英顺,冯健. 基于自适应模糊神经网络的噪声抵消器[J]. 仪表技术与传感器, 2003, 0(5): 14-16
作者姓名:伦淑娴  张化光  李英顺  冯健
作者单位:1. 东北大学电气自动化研究所,辽宁,沈阳,110004;锦州师范学院信息科学与工程学院,辽宁,锦州,121003
2. 东北大学电气自动化研究所,辽宁,沈阳,110004
3. 东北大学电气自动化研究所,辽宁,沈阳,110004;沈阳工业大学工程学院,辽宁,辽阳,111003
基金项目:国家自然科学基金(60274017),沈阳市科技攻关项目(1023090-2-00)资助。
摘    要: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,并互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。

关 键 词:噪声抵消器 模糊神经网络 自适应滤波 信号处理 滤波器
文章编号:1002-1841(2003)05-0014-03
修稿时间:2003-01-07

Adaptive Noise Cancellation Using Adaptive Fuzzy Neural Networks Algorithm
Lun Shuxian,Zhang Huaguang,Li Yingshun,Feng Jian. Adaptive Noise Cancellation Using Adaptive Fuzzy Neural Networks Algorithm[J]. Instrument Technique and Sensor, 2003, 0(5): 14-16
Authors:Lun Shuxian  Zhang Huaguang  Li Yingshun  Feng Jian
Abstract: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.
Keywords:Adaptive Noise Cancellation  Adaptive Filter  Fuzzy Neural Network
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