Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Estimating particles velocity from laser measurements: maximumlikelihood and Cramer-Rao bounds
IEEE Transactions on Signal Processing
Time--frequency feature representation using energy concentration: An overview of recent advances
Digital Signal Processing
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In this paper, the problem of the instantaneous frequency (IF) estimation of sinusoidally frequency-modulated signals has been addressed, especially when small modulation indices are involved. Such a problem is encountered when laser-Doppler velocity measurements are carried out in acoustics. The amplitude and phase of the sine-wave IF law are then the searched parameters. A new time-frequency transform, specifically designed for tracking sine wave IF variations has been developed, using as a starting point the formalism of the Polynomial Wigner-Ville distributions. The computation of this transform, quick and simple, followed by an amplitude and phase estimation of the IF law, is the so-called Time-Frequency Synchronous Detector (TFSD). After a derivation of the Cramer-Rao bounds for the estimation of the searched parameters, the performances of the detector are studied and compared to those of the Cross Wigner-Ville based estimator (CWV) and those of a parametric estimator based on the maximum likelihood (ML). For moderate SNR, the TFSD represents a better compromise in terms of bias. variance and computational time than the CWV. The ML performances are slightly better for synthesized signals than those of the time-frequency methods, but the latter provide significantly better estimates for experimental signals.