南京航空航天大学学报（英文版）2023，Vol.40Issue(1)：71-79,9.
基于分段互质采样的谐波和间谐波频率估计方法
Harmonic and Interharmonic Frequency Estimation for Power Systems via Segmented Coprime Sampling
摘要
Abstract
The number of harmonics generated by power electronics in power systems is increasing, and the harmonic problem is a significant concern. In this paper, we propose an improved coprime sampling (CS) scheme for harmonic and interharmonic frequency estimation. The proposed scheme uses sparse sampling to reduce the sampling rate significantly and combines it with modern spectral estimation algorithms. Then, the segmented coprime sampling (SCS) method replaces the traditional CS, effectively reducing the sampling rate and the hardware system's workload. In addition, the root-multiple signal classification (root-MUSIC) algorithm returns the commonly used MUSIC algorithm, which guarantees estimation accuracy and significantly reduces computational complexity. The simulation results show that the proposed scheme outperforms the traditional uniform sampling (US) method in estimation accuracy.关键词
互质采样/间谐波/root-MUSIC算法/频率估计Key words
coprime sampling/interharmonic/root-multiple signal classification(MUSIC) algorithm/frequency estimation分类
信息技术与安全科学引用本文复制引用
岳衡,张小飞..基于分段互质采样的谐波和间谐波频率估计方法[J].南京航空航天大学学报（英文版）,2023,40(1):71-79,9.基金项目
This work was supported by the Na-tional Natural Science Foundation of China(Nos.61631020,61971217,61971218),the Natural Science Foundation of Jiangsu Province(No.BK20200444),and the National Key Research and Development Project(No.2020YFB1807602). （Nos.61631020,61971217,61971218）
