摘要
Abstract
In order to improve the signal noise and interference suppression capability for the traditional method of zero - crossing frequency measurement, and to solve the minimum phase resolution problem of digital measurement system,this paper presents a linear regression theory based frequency measurement algorithm for digital sinusoidal signal. The algorithm is based on principles of mathematical statistics, and the data analysis does not care about the exact location of zero - crossing signal and the accuracy of the single point sample values, but the multi - point statistical data near zero - crossing signal. Therefore, the algorithm has a strong signal noise and interference suppressive capability. In addition, the algorithm results have the optimal characteristics of data analysis, so it is with high aocuraey. Finally, the algorithm design process and implementation methods have been presented, and the simulation and experiment results of algorithm have been provided. The results show that the algorithm is simple, practical, accurate, and it provides a novel, practical, stable and accurate new method for the digital measurement equipment of power system to measure various types of measurements like zero -crossing phase detection, frequency detection, signal phase detection and power quality analysis.关键词
一元线性回归/频率测量/数字正弦信号Key words
linear regression/ frequency measurement/ digital sinusoidal signal分类
信息技术与安全科学
