Recent advances in rapid frequency estimation

Barry G. Quinn

doi:10.1016/j.dsp.2008.04.004

Recent advances in rapid frequency estimation

Barry G. Quinn^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

43 Citations (Scopus)

Abstract

There are two main types of frequency estimator-the traditional, based on FFT's, and the more modern, based on linear filtering. Statistical and computational efficiency usually have to be traded off against each other. Typically the filter-based estimators are statistically grossly inefficient. This paper discusses the extension of the Quinn-Fernandes (filter-based, statistically optimal) technique to complex-valued signals, and the use of zero-padding to improve the statistical efficiency of the Fourier transform interpolative (FTI) estimator to statistical near-optimality.

Original language	English
Pages (from-to)	942-948
Number of pages	7
Journal	Digital Signal Processing
Volume	19
Issue number	6
DOIs	https://doi.org/10.1016/j.dsp.2008.04.004
Publication status	Published - Dec 2009

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AB - There are two main types of frequency estimator-the traditional, based on FFT's, and the more modern, based on linear filtering. Statistical and computational efficiency usually have to be traded off against each other. Typically the filter-based estimators are statistically grossly inefficient. This paper discusses the extension of the Quinn-Fernandes (filter-based, statistically optimal) technique to complex-valued signals, and the use of zero-padding to improve the statistical efficiency of the Fourier transform interpolative (FTI) estimator to statistical near-optimality.

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Recent advances in rapid frequency estimation

Abstract

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