DocumentCode :
3006551
Title :
A new DFT-based frequency estimator for single-tone complex sinusoidal signals
Author :
Luoyang Fang ; Dongliang Duan ; Liuqing Yang
Author_Institution :
Dept. of Electr. & Comput. Eng., Colorado State Univ., Fort Collins, CO, USA
fYear :
2012
fDate :
Oct. 29 2012-Nov. 1 2012
Firstpage :
1
Lastpage :
6
Abstract :
Frequency estimation for single-tone complex sinusoidal signals under additive white Gaussian noise is a classical and fundamental problem in many applications, such as communications, radar, sonar and power systems. In this paper, we propose a new algorithm by interpolating discrete Fourier transform (DFT) samples. Different from other existing interpolation methods for frequency estimation, our algorithm is based on a much simpler expression and has mathematically tractable bias expression in closed form, which can potentially assist future bias correction. Simulations confirm that our proposed algorithm outperforms all existing alternatives in the literature with comparable complexity.
Keywords :
AWGN; discrete Fourier transforms; frequency estimation; interpolation; signal processing; DFT samples; DFT-based frequency estimator; additive white Gaussian noise; bias correction; discrete Fourier transform; frequency estimation; interpolation methods; mathematically tractable bias expression; single-tone complex sinusoidal signals; Algorithm design and analysis; Approximation algorithms; Discrete Fourier transforms; Frequency estimation; Interpolation; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MILITARY COMMUNICATIONS CONFERENCE, 2012 - MILCOM 2012
Conference_Location :
Orlando, FL
ISSN :
2155-7578
Print_ISBN :
978-1-4673-1729-0
Type :
conf
DOI :
10.1109/MILCOM.2012.6415812
Filename :
6415812
Link To Document :
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