Accurate sine-wave frequency estimation by means of an interpolated DTFT algorithm

被引：0

作者：

Belega, Daniel ^{[1
]}

Petri, Dario ^{[2
]}

Dallet, Dominique ^{[3
]}

机构：

[1] Univ Politeh Timisoara, Dept Measurements & Opt Elect, Bv V Parvan 2, Timisoara 300223, Romania

[2] Univ Trento, Dept Ind Engn, Via Sommarive 9, I-38123 Trento, Italy

[3] Univ Bordeaux, CNRS, Bordeaux IPB, IMS Lab,UMR5218, 351 Cours Liberat,Batiment A31, F-33405 Talence, France

来源：

PROCEEDINGS OF THE 21ST IMEKO TC-4 INTERNATIONAL SYMPOSIUM ON UNDERSTANDING THE WORLD THROUGH ELECTRICAL AND ELECTRONIC MEASUREMENT AND 19TH INTERNATIONAL WORKSHOP ON ADC MODELLING AND TESTING | 2016年

关键词：

Discrete Time Fourier Transform (DTFT); Error analysis; Frequency estimation; Windowing; DFT METHOD; SIGNAL; PARAMETERS; WINDOWS; DOMAIN;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An Interpolated Discrete Time Fourier Transform (IpDTFT) algorithm for sine-wave frequency estimation is proposed in this paper. It generalizes the classical interpolated Discrete Fourier Transform (IpDFT) algorithm by interpolating two DTFT spectrum samples located one frequency bin apart. The influence on the estimated frequency of the spectral image component is investigated in the case when the acquired sine-wave samples are weighted by a Maximum Sidelobe Decay (MSD) window. An analytical expression for the estimation error due to the spectral image component is derived. Leveraging on that expression an iterative procedure for the reduction of the effect of spectral image component on the estimated frequency is proposed. The accuracies of the proposed procedure and other state-of-the-art interpolated DFT algorithms are compared by means of both computer simulations and experimental results. It is shown that the proposed procedure can be advantageously adopted when the number of acquired sine-wave cycles is small.

引用

页码：122 / 127

页数：6

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