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Article Dans Une Revue Digital Signal Processing Année : 2016

Accuracy analysis of complex sinusoid amplitude and phase estimation by means of the interpolated discrete-time Fourier transform algorithm

Résumé

In this paper the accuracy of the complex sinusoid amplitude and phase estimators provided by the Interpolated Weighted Discrete-Time Fourier Transform (IpWDTFT) algorithm is analyzed. It is shown that the use of the WDTFT spectral sample corresponding to the estimated sinusoid frequency allows to minimize the estimator asymptotic Mean Square Error (MSE) due to additive wideband noise. Also, the expression of the asymptotic expected sum-squared fitting error in the reconstruction of the complex sinusoid by means of the IpWDTFT algorithm is derived. All the derived expressions are verified through computer simulations.
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Dates et versions

hal-01378582 , version 1 (10-10-2016)

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Daniel Belega, Dario Petri, Dominique Dallet. Accuracy analysis of complex sinusoid amplitude and phase estimation by means of the interpolated discrete-time Fourier transform algorithm. Digital Signal Processing, 2016, 59, pp.9-18. ⟨10.1016/j.dsp.2016.07.018⟩. ⟨hal-01378582⟩
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