A fine-resolution frequency estimator using an arbitrary number of DFT coefficients

Date

2014-12-01

Author

Orguner, Umut
Candan, Çağatay

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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.

Subject Keywords

Frequency Estimation, Cramer-Rao Bound

URI

https://hdl.handle.net/11511/36695

Journal

SIGNAL PROCESSING

DOI

https://doi.org/10.1016/j.sigpro.2014.05.013

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

U. Orguner and Ç. Candan, “A fine-resolution frequency estimator using an arbitrary number of DFT coefficients,” SIGNAL PROCESSING, pp. 17–21, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36695.