DocumentCode
3801593
Title
Estimation of the Sinusoidal Signal Frequency Based on the Marginal Median DFT
Author
Igor Djurovic
Volume
55
Issue
5
fYear
2007
Firstpage
2043
Lastpage
2051
Abstract
The marginal-median discrete Fourier transform (DFT) is used for estimation of complex sinusoidal signals embedded in an impulse noise environment. Expression for the marginal-median DFT of the sinusoidal signal in the neighborhood of the exact frequency is derived. Two specific displacement techniques are proposed in order to achieve an accurate estimation of frequency displaced from the frequency grid. They are based on specific ratio of the marginal-median DFT magnitudes for samples in the neighborhood of the marginal-median DFT maximum calculated over the frequency grid. Efficiency and accuracy of the proposed techniques is proved for mixed Gaussian and impulse noise environment
Keywords
"Frequency estimation","Discrete Fourier transforms","Working environment noise","Noise robustness","Gaussian noise","Filters","Interpolation","Phase estimation","Fourier transforms","Maximum likelihood estimation"
Journal_Title
IEEE Transactions on Signal Processing
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2007.893211
Filename
4156379
Link To Document