A Fine Resolution Frequency Estimator Based on Double Sub-segment Phase Difference

Author

Xiangdong Huang ; Xiang-Gen Xia

Author_Institution

Sch. of Eectronics & Inf. Eng., Tianjin Univ., Tianjin, China

Volume

22

Issue

8

fYear

2015

fDate

Aug. 2015

Firstpage

1055

Lastpage

1059

Abstract

A DFT-based frequency estimator with low computational complexity is proposed, which is derived by extracting the phase difference from the peak DFT bins of two sub-segments from input samples. Some of its statistical properties, such as asymptotical unbiasedness and error variance, are derived. Furthermore, an iterative procedure of frequency estimate is also presented. Simulation results show that the proposed estimator´s accuracy is close to those of AM estimator and CO estimator.

Keywords

computational complexity; discrete Fourier transforms; frequency estimation; iterative methods; signal resolution; AM estimator; CO estimator; DFT-based frequency estimator; asymptotical unbiasedness; computational complexity; double sub-segment phase difference; error variance; fine resolution frequency estimator; iterative procedure; peak DFT bins; statistical properties; Accuracy; Computational complexity; Discrete Fourier transforms; Estimation; Frequency estimation; Signal to noise ratio; DFT; frequency estimator; phase difference;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2014.2385086

Filename

6994847