Recent advances in rapid frequency estimation

Authors:
Barry G. Quinn
Affiliations:
Department of Statistics, EFS, Macquarie University, Sydney, NSW 2109, Australia
Venue:
Digital Signal Processing
Year:
2009

Citing 4
Cited 3

Iterative frequency estimation by interpolation on Fourier coefficients

IEEE Transactions on Signal Processing
Estimating frequency by interpolation using Fourier coefficients

IEEE Transactions on Signal Processing
Estimation of frequency, amplitude, and phase from the DFT of atime series

IEEE Transactions on Signal Processing
Analysis of the variance threshold of Kay's weighted linearpredictor frequency estimator

IEEE Transactions on Signal Processing

Generalization of iterative Fourier interpolation algorithms for single frequency estimation

Digital Signal Processing
High-fidelity modulation parameter estimation of non-cooperative transmitters: Carrier frequency

Digital Signal Processing
Analytical solutions for frequency estimators by interpolation of DFT coefficients

Signal Processing

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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.