Adaptive Frequency Estimation with Low Sampling Rates Based on Robust Chinese Remainder Theorem and IIR Notch Filter

被引：0

作者：

Liang, Hong ^{[1
]}

Li, Xiaowei ^{[2
]}

Xia, Xiang-Gen ^{[2
]}

机构：

[1] Northwestern Polytech Univ, Coll Marine, Xian 710072, Peoples R China

[2] Univ Delaware, Dept Elect & Comp Engn, Newark, DE 19716 USA

来源：

ICIEA: 2009 4TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-6 | 2009年

关键词：

Adaptive IIR notch filter; Chinese remainder theorem(CRT); frequency estimation; robust CRT; undersampling;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, based on an adaptive IIR notch filter and a robust Chinese remainder theorem (CRT), we propose a frequency estimation algorithm from multiple undersampled signals. Our proposed algorithm can significantly reduce the sampling rates and provide more accurate estimates than the method based on adaptive IIR notch filter and sampling rates above the Nyquist rates does. We then present simulation results to verify the performance of our proposed algorithm for both stationary and nonstationary signals

引用

页码：2990 / +

页数：2

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