Efficient and Accurate Frequency Estimator under Low SNR by Phase Unwrapping
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-14
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
In the case of low signal-to-noise ratio, for the frequency estimation of single-frequency sinusoidal signals with additive white Gaussian noise, the phase unwrapping estimator usually performs poorly.
In this paper, an efficient and accurate method is proposed to address this problem.
Different from other methods, based on fast Fourier transform, the sampled signals are estimated with the variances approaching the Cramer-Rao bound, followed with the maximum likelihood estimation of the frequency.
Experimental results reveal that our estimator has a better performance than other phase unwrapping estimators.
Compared with the state-of-the-art method, our estimator has the same accuracy and lower computational complexity.
Besides, our estimator does not have the estimation bias.
American Psychological Association (APA)
Zhou, Shen& Rongfang, Liu. 2019. Efficient and Accurate Frequency Estimator under Low SNR by Phase Unwrapping. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-6.
https://search.emarefa.net/detail/BIM-1196981
Modern Language Association (MLA)
Zhou, Shen& Rongfang, Liu. Efficient and Accurate Frequency Estimator under Low SNR by Phase Unwrapping. Mathematical Problems in Engineering No. 2019 (2019), pp.1-6.
https://search.emarefa.net/detail/BIM-1196981
American Medical Association (AMA)
Zhou, Shen& Rongfang, Liu. Efficient and Accurate Frequency Estimator under Low SNR by Phase Unwrapping. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-6.
https://search.emarefa.net/detail/BIM-1196981
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196981