Generalization of iterative Fourier interpolation algorithms for single frequency estimation

被引：31
|
作者：
Liu, Yanhui [1 ]
Nie, Zaiping [1 ]
Zhao, Zhiqin [1 ]
Liu, Qing Huo [2 ]
机构：
[1] Univ Elect Sci & Technol China, Dept Elect Engn, Chengdu 610054, Sichuan, Peoples R China
[2] Duke Univ, Dept Elect & Comp Engn, Durham, NC 27708 USA
来源：
DIGITAL SIGNAL PROCESSING | 2011年 / 21卷 / 01期
基金：
美国国家科学基金会;
关键词：
Frequency estimation; Fourier interpolation; Discrete Fourier transform (DFT); Fast Fourier transform (FFT); PARAMETER-ESTIMATION; DICHOTOMOUS SEARCH; MAXIMUM-LIKELIHOOD;
D O I：
10.1016/j.dsp.2010.06.012
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：
The problem of estimating the frequency of a complex single tone is considered We generalize two iterative Fourier interpolation algorithms in the literature by introducing an additional parameter to allow for selection of the Fourier interpolation coefficients relative to the true frequency The generalized algorithms can use more information from FFT results and consequently achieve significant improvement over the original algorithms in either accuracy or efficiency Simulation results show advantages of the proposed algorithms (C) 2010 Elsevier Inc All rights reserved
引用
收藏
页码：141 / 149
页数：9
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