A new method based on radio frequency spectrum for background noise curve extraction

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.