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Analysis of the Methods of Weak Signal Detection
LiuYuan Hong
2011, 31(3):
156-161.
Weak characteristic signal detection embedded in strong noise has been the problems of engineering applications. This paper systematically researched the methods of weak signal detection of time domain, frequency domain, time-frequency domain based on the linearity theory, and methods based on the nonlinear theory. Moreover, the basic principles and characteristics of these methods are analyzed. In the methods of correlation detection, sampling integral and digital averaging, time averaging are construed, as well as the widely employed method of frequency spectrum analysis in the frequency domain. In the method of time-frequency analysis, the STFT and wavelet transformation, which are widely applied, are analyzed. The stochastic resonance is emphasized in the method based on the nonlinear theory. Finally, it comes to the conclusion that the methods of weak signal detection based on the nonlinear theory and combined methods are the research fields in the future.
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