Abstract
Weak signal detection technology refers to a technology which analyzes the noise’s production laws and researches the characteristics and correlation of signals with relevant electronics, physics, information, and computer knowledge and techniques, to detect the weak signals that are submerged by noises. In this paper, the basic principle of weak signal detection is discussed from the improvement of Signal-to-Noise Ratio (SNR) of signal processing system, and also the principles and methods of relevant detection, sample integral, time domain averaging, frequency domain detection, and time-frequency analysis are emphatically analyzed, expecting that different methods can be applied by people in detection according to the signals of different characteristics.
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Zhu, S. (2013). Study on Weak Signal Detection Methods. In: Yang, Y., Ma, M. (eds) Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 3. Lecture Notes in Electrical Engineering, vol 225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35470-0_68
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DOI: https://doi.org/10.1007/978-3-642-35470-0_68
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