基于小波分析的自适应谱线增强信号提取  

Signal Extraction of Adaptive Spectral Enhancement Based on Wavelet Multi-resolution Analysis

作　　者：嵇斗[1] 王向军[1] 张怀亮[2] 

机构地区：[1]海军工程大学电气与信息工程学院,430033 [2]海军装备部,北京100071

出　　处：《中国舰船研究》2010年第2期74-77,共4页Chinese Journal of Ship Research

基　　金：湖北省自然科学基金资助项目(2007ABA360)

摘　　要：提出一种基于小波多分辨率分析的自适应谱线增强算法,利用小波多分辨率分析理论,有效地将微弱的窄带轴频电场信号从宽带背景噪声中分离出来,把信号和噪声正交分解于不同的频率范围中,从而减少了自适应滤波器的阶数,提高了算法的收敛速度和稳定性。利用该方法对船模产生的轴频电场实测数据进行了处理,实验结果表明该算法可以有效地提取舰船轴频电场信号。The digital signal processing method for adaptive spectral enhancement （ALE） with wavelet multi-resolution analysis algorithm can extract the characteristic signal of the shaft-rate modulated electric field from the environment field.The method analyzes the signal and noise into different frequency ranges with wavelet analysis,and the adaptive filter＇s orders can be reduced,thus the speed of convergence and the performance of system are improved.Using this method,the measured data of the shaftrate modulated electric field of a ship are processed.Both the experimental and measured data show that the method is effective.

关 键 词：小波变换 多分辨率分析 极低频 电场 自适应谱线增强 舰船 

分 类 号：TN912[电子电信—通信与信息系统]