Algorithm Based on Stockwell Transform for Processing of Communication Signal to Detect Superimposed Harmonics and Transient Disturbances

Monika Mathur, Vivek Upadhyaya, Rahul Srivastava
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Abstract

An algorithm based on Stockwell Transform focused on processing of communication signals to detect harmonics and transient disturbances superimposed on the signals is presented in this paper. These disturbances are being superimposed on the signals in the communication channel or at the transmitter or the receiver stations. Investigated transient disturbances include impulsive transient and oscillatory transients. Communication signals incorporating harmonics or transient disturbance are decomposed with the help of Stockwell Transform and S-matrix is derived. A summation of absolute values curve, median curve and maximum absolute values plot are proposed to detect disturbances. These curves are obtained from S-matrix. On comparing these plots of signal having harmonics or transient disturbances with respective curves of pure sinusoidal communication signal, superimposed harmonics or transient disturbance have been detected successfully. Effectiveness of the proposed approach is established using the MATLAB software.
基于Stockwell变换的通信信号处理中叠加谐波和瞬态干扰检测算法
本文提出了一种基于斯托克韦尔变换的通信信号处理算法,用于检测叠加在通信信号上的谐波和瞬态干扰。这些干扰叠加在通信信道或发射台或接收站的信号上。所研究的瞬态扰动包括脉冲瞬态和振荡瞬态。利用斯托克韦尔变换对含有谐波或瞬态扰动的通信信号进行分解,导出s矩阵。提出了绝对值曲线、中值曲线和最大绝对值曲线的总和图来检测干扰。这些曲线是由s矩阵得到的。将这些有谐波或瞬态干扰的信号图与纯正弦通信信号的相应曲线进行比较,成功地检测出了叠加谐波或瞬态干扰。利用MATLAB软件验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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