Paper Info
Title
A fine-resolution frequency estimator using an arbitrary number of DFT coefficients.
Abstract
A method for the frequency estimation of complex exponential signals observed under additive white Gaussian noise is presented. Unlike competing methods based on relatively few Discrete Fourier Transform (DFT) samples, the presented technique can generate a frequency estimate by fusing the information from all DFT samples. The estimator is shown to follow the Cramer–Rao bound with a smaller signal-to-noise ratio (SNR) gap than the competing estimators at high SNR.
Year
DOI
Venue
2014
10.1016/j.sigpro.2014.05.013
Signal Processing
Keywords
Field
DocType
Frequency estimation,Cramer–Rao bound
Cramér–Rao bound,Mathematical optimization,Fine resolution,Euler's formula,Discrete Fourier transform,Additive white Gaussian noise,Mathematics,Estimator
Journal
Volume
ISSN
Citations 
105
0165-1684
7
PageRank 
References 
Authors
0.56
9
2
Name
Order
Citations
PageRank
Umut Orguner154840.11
Cagatay Candan28210.38