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Application of Correlation Analysis in Weak Signal Detection

机译:相关分析在微弱信号检测中的应用

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In paper the problem of detection a low-frequency weak signal from the mixture with strong random noise is considered. It is shown that usage of correlation analysis makes it possible to detect a harmonic signal from an additive mixture of a useful signal and random noise. But with a single applying of correlation, this information can be lost against a background of strong noise. To solve this problem, it is recommended to repeatedly determine the correlation function. In this case, the correlation function of the mixture becomes equal to the correlation function of the useful signal. As a result, the signal-to-noise ratio increases many times. Also, based on the obtained autocorrelation function, it is possible to estimate the period and amplitude of the harmonic weak signal.
机译:在本文中,考虑了从具有强随机噪声的混合物中检测低频弱信号的问题。结果表明,使用相关分析可以从有用信号和随机噪声的累加混合物中检测谐波信号。但是,仅通过应用相关性,就可以在强噪声背景下丢失此信息。为了解决这个问题,建议重复确定相关函数。在这种情况下,混合的相关函数变得等于有用信号的相关函数。结果,信噪比增加了很多倍。而且,基于获得的自相关函数,可以估计谐波弱信号的周期和幅度。

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