基于多重自相关算法的微弱正弦信号检测技术  

An Inspecting Technology for Weak Sinusoidal Signal Based on Wavelet Analysis and Multi-layer Autocorrelation

作　　者：范晓志[1] 

机构地区：[1]北京工商大学材料与机械工程学院,北京102488

出　　处：《机电产品开发与创新》2015年第6期107-108,125,共3页Development & Innovation of Machinery & Electrical Products

摘　　要：离散小波变换具有时频分析特性,可把信号的细微变化反应出来,可明显提高信号的信噪比,在用小波变换进行预处理的前提下,利用正弦信号的特殊性质,在信号未知的情况下通过多重自相关运算可检测出埋没于噪声中的微弱正弦信号。讨论了多重自相关法在白噪声背景下、有色噪声背景下等情况的检测效果,并给出仿真结果。Discrete wavelet transform（DWT） is a time-frequency analysis technology, which detects the subtle small changes in the signal spectrum and can improve the SNR. Based on the DWT, considering the sinusoidal signal has a particular autocorrelation trait, it is possible to detect the unknown weak signal in power noise. Multiple statuses are studied, when sine signal are disturbed by white noise or colored noise. Finally, the paper offers a simulation results.

关 键 词：离散小波变换 自相关 微弱信号 有色噪声 

分 类 号：TN911[电子电信—通信与信息系统]