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Fine resolution frequency estimation from three DFT samples: Case of windowed data
Date
2015-09-01
Author
Candan, Çağatay
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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An efficient and low complexity frequency estimation method based on the discrete Fourier transform (DFT) samples is described. The suggested method can operate with an arbitrary window function in the absence or presence of zero-padding. The frequency estimation performance of the suggested method is shown to follow the Cramer-Rao bound closely without any error floor due to estimator bias, even at exceptionally high signal-to-noise-ratio (SNR) values.
Subject Keywords
Frequency estimation
,
Interpolated DFT
,
IpDFT
,
Rife-Vincent windows
,
Side-lobe suppression
URI
https://hdl.handle.net/11511/38049
Journal
SIGNAL PROCESSING
DOI
https://doi.org/10.1016/j.sigpro.2015.03.009
Collections
Department of Electrical and Electronics Engineering, Article