神经网络结合自适应噪声抵消技术在磁场信号处理方面的应用  

Magnetic Signal Processing With Artificial Neutral Network And Adaptive Filter

作　　者：方石[1] 曲兆宇[2] 还迎春[1] 

机构地区：[1]海军工程大学 [2]91439部队96分队

出　　处：《船电技术》2009年第10期47-49,64,共4页Marine Electric & Electronic Engineering

摘　　要：本文基于神经网络和自适应滤波原理,讨论在复杂噪声情况下的磁场信号处理和提取问题。针对水下目标磁场特性,以实际测量的背景噪声和目标信号数据为样本,设计了低通滤波器,并应用MATLAB软件进行BP神经网络算法的模拟仿真,实现自适应噪声抵消。结果证明此方法可以显著提高对目标信号的处理和提取能力。Based on the theory of Artificial Neutral Network and Adaptive Filter, this text discusses the question of magnetic field signal processing under the complex ambient noise. According to the characteristic of underwater target magnetic field, with the measured data, design a low-pass filter, and simulate BP Neutral Network with MATLAB, complete adaptive voice counteraction. The conclusion proved that this method could improve remarkably the ability of target signal processing.

关 键 词：神经网络 自适应滤波 磁场信号处理 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]