DocumentCode
1082572
Title
An improved single frequency estimator
Author
Kim, Daeyoung ; Narasimha, Madihally J. ; Cox, Donald C.
Author_Institution
Dept. of Electr. Eng., Stanford Univ., CA, USA
Volume
3
Issue
7
fYear
1996
fDate
7/1/1996 12:00:00 AM
Firstpage
212
Lastpage
214
Abstract
A new method for estimating the frequency of a complex sinusoid in complex white Gaussian noise is proposed. Its computational complexity is comparable to Kay´s method [1989], but it attains the Cramer-Rao bound (CRB) down to lower signal-to-noise ratio (SNR) values. Simulation results are included to demonstrate the performance of the proposed method.
Keywords
Gaussian noise; computational complexity; frequency estimation; spectral analysis; white noise; Cramer-Rao bound; complex sinusoid; complex white Gaussian noise; computational complexity; improved single frequency estimator; performance; signal-to-noise ratio; Computational complexity; Computational modeling; Equations; Fast Fourier transforms; Frequency estimation; Gaussian noise; Gaussian processes; Maximum likelihood estimation; Signal to noise ratio;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.508168
Filename
508168
Link To Document