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

机译：一种基于射频频谱的背景噪声曲线提取的新方法

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摘要

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.
机译：背景噪声是干扰无线电监控的关键因素之一。如何有效地从噪声中提取原始信号对于信号 - 噪声分离算法很重要。最近，已经提出了几种算法在某些条件下提取信号，这也具有限制。本文首先审查并讨论了现有的信号 - 噪声分离算法。然后，我们提出了一种基于平滑滤波器原理的分段自适应阈值算法。算法可以随着外部电磁环境的改变自适应地调整，并且可以应用于宽监测频带。

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