DocumentCode
294807
Title
Complex sinusoid frequency estimation at very low SNR
Author
Ganesan, T.
Author_Institution
Motorola India Electron. (Pvt) Ltd., Bangalore, India
Volume
3
fYear
1995
fDate
9-12 May 1995
Firstpage
1772
Abstract
A frequency estimator for complex sinusoids in white noise is proposed for a very low SNR scenario. This algorithm possesses the computational simplicity of a discrete Fourier transform (DFT) and the resolution advantages of signal eigenvector methods. Asymptotic expressions are derived to explain the behaviour of the estimator for high and low SNR. Simulation results shows that the estimator provides reasonably good estimates even at lower SNR as compared to the existing techniques
Keywords
frequency estimation; spectral analysis; white noise; algorithm; complex sinusoid frequency estimation; discrete Fourier transform; signal eigenvector methods; simulation; spectral estimation; very low SNR; white noise; Computational modeling; Covariance matrix; Discrete Fourier transforms; Filtering algorithms; Frequency estimation; Iterative algorithms; Maximum likelihood estimation; Signal resolution; Signal to noise ratio; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location
Detroit, MI
ISSN
1520-6149
Print_ISBN
0-7803-2431-5
Type
conf
DOI
10.1109/ICASSP.1995.480042
Filename
480042
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