Fine resolution frequency estimation from three DFT samples: Case of windowed data

Date

2015-09-01

Author

Candan, Çağatay

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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

Citation Formats

Ç. Candan, “Fine resolution frequency estimation from three DFT samples: Case of windowed data,” SIGNAL PROCESSING, vol. 114, pp. 245–250, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38049.