A New Method Based on Radio Frequency Spectrum for Background Noise Curve Extraction

Abstract:

The background noise is one of the key factors that interferes the radio monitoring. How to efficiently extract original signals from noises is important for the signal-to-noise separation algorithm. Recently, several algorithms have been proposed to extract signal on certain conditions, which also have their limitations. This paper first reviews and discusses the existing signal-to-noise separation algorithm. Then, we propose a piecewise adaptive threshold algorithm based on the principle of smoothing filter. The algorithm can be adjusted adaptively with the change of the external electromagnetic environment, and can be applied in a wide monitoring frequency bands.

• Periodical: Applied Mechanics and Materials (Volumes 475-476)
• Pages: 247-252
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.475-476.247
• Online since: December 2013
• Authors: Jia Nan Zhang*, Zhi Cai Liu, Zheng Pei
• Keywords: Abnormal Signal, Adaptability, Background Noise, Threshold Line

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