基于参数谱估计方法的谐波检测研究

详细信息

Study of harmonics detection based on parametric spectral estimation method

1.
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China
2.
College of Science, Nanjing University of Posts and Telecommunications, Nanjing 2

摘要: 在分析自回归模型的基础上，研究了Yule Walker，Burg和Covariance三种参数谱估计方法的检测原理，提出了一种改进 Covariance方法。在Matlab仿真平台上，采用4种参数谱估计方法对谐波、间谐波、次谐波进行检测。仿真结果表明，参数谱估计方法不仅能检测整数次谐波，对间谐波和次谐波也有很好的检测效果，其中Burg方法和改进 Covariance方法谐波检测效果最好。
- 谐波检测 /
- 参数谱估计 /
- 自回归模型
Abstract: Three parametric spectral estimation methods including Yule Walker, Burg and Covariance were studied and an improved Covariance method was proposed based on analysis of AR model. The four kinds of parametric spectral estimation method were used for harmonics, inter-harmonics, and sub-harmonic detection on Matlab simulation platform. The simulation results show that the parametric spectral estimation method can detect not only integer harmonics, but also has good detection effect on inter-harmonics and sub-harmonics, and Burg and improved Covariance method have the best detection effect.
- harmonics detection /
- parametric spectral estimation /
- AR model