Fast communication: Estimation of single-tone signal frequency by using the L-DFT

Authors:
Igor Djurović;Vladimir V. Lukin
Affiliations:
Electrical Engineering Department, University of Montenegro, 81000 Podgorica, Montenegro, Serbia and Montenegro;Department of Receivers, Transmitters and Signal Processing, National Aerospace University, 17 Chkalova Street, 61070 Kharkov, Ukraine
Venue:
Signal Processing
Year:
2007

Citing 7
Cited 5

Iterative frequency estimation by interpolation on Fourier coefficients

IEEE Transactions on Signal Processing
Robust L-estimation based forms of signal transforms and time-frequency representations

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

IEEE Transactions on Signal Processing
Estimation of the Sinusoidal Signal Frequency Based on the Marginal Median DFT

IEEE Transactions on Signal Processing
Robust M-periodogram

IEEE Transactions on Signal Processing
Single tone parameter estimation from discrete-time observations

IEEE Transactions on Information Theory
Adaptive alpha-trimmed mean filters under deviations from assumed noise model

IEEE Transactions on Image Processing

An overview of the adaptive robust DFT

EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
Fast communication: Robust M-periodogram with dichotomous search

Signal Processing
Efficient frequency estimation of a single real tone based on principal singular value decomposition

Digital Signal Processing
Frequency estimation of a sinusoidal signal via a three-point interpolated DFT method with high image component interference rejection capability

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

Signal Processing

Quantified Score

Hi-index	0.08

Visualization

Abstract

Frequency estimation of complex sinusoidal signal parameters for mixed Gaussian and impulse noise environment is considered. We assume that the sinusoid has constant amplitude. The first stage in the proposed algorithm is calculation of the L-DFT forms for various parameters. Then, an optimal value of the L-DFT parameter is estimated as a value minimizing the L-DFT energy. Position of the L-DFT maximum calculated for the optimal parameter is used as a coarse frequency estimate. Fine estimation is performed by a recently proposed iterative procedure. Numerical analysis confirms accuracy of the proposed technique.