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基于小波分析的自适应谱线增强信号提取
引用本文:嵇斗,王向军,张怀亮.基于小波分析的自适应谱线增强信号提取[J].中国舰船研究,2010,5(2):74-77.
作者姓名:嵇斗  王向军  张怀亮
作者单位:1. 海军工程大学电气与信息工程学院,湖北武汉,430033
2. 海军装备部,北京,100071
基金项目: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。

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

Signal Extraction of Adaptive Spectral Enhancement Based on Wavelet Multi-Resolution Analysis
Ji Dou,Wang Xiang-jun,Zhang Huai-liang.Signal Extraction of Adaptive Spectral Enhancement Based on Wavelet Multi-Resolution Analysis[J].Chinese Journal of Ship Research,2010,5(2):74-77.
Authors:Ji Dou  Wang Xiang-jun  Zhang Huai-liang
Institution:1 College of Electric and Information Engineering,Naval University of Engineering,Wuhan 430033,China ;2 Naval Armament Department of PLAN,Beijing 100071,China )
Abstract: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...
Keywords:wavelet transform  multi-resolution analysis  extremely low frequency  electric field  adaptive spectral enhancement  ship  
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