基于压缩感知的静止无功补偿器信号降噪

Signal Noise De-noising of Noise Static Var Compensator Based on Compressed Sensing Method

针对静止无功补偿器在工作过程中容易引起噪声的问题,文中提出了一种基于压缩感知的静止无功补偿信号噪声修正算法。压缩感知算法可以提供多个不同的映射字典基的特性,识别静止无功补偿器产生多种噪声信号的分量。通过在变换域进行阈值判断和重新赋值,实现噪声干扰的修正及消除,噪声消除效率是小波软阈值方法的数倍。

In view of the noise which is easily caused during operation of the static var compensator,in this paper,a kind of signal correction algorithm of static var compensator based on compressed sensing is proposed. The compression perception algorithm can provide many different features of the mapping dictionary baseand identify the components of a number of noise signals generated by the static var compensator. The correction and elimination of noise interference is achieved by thresholding and reassigning values in the transform domain. The efficiency of noise cancellation is several times that of wavelet soft thresholding.