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Title: Removal of the phase noise in the autocorrelation estimates with data windowing
Authors: Altınkaya, Mustafa Aziz
Anarım, Emin
Sankur, Bülent
Keywords: Data records
Frequency estimates
Phase noise
High signal-to-noise ratio
Simulation experiments
Sinusoidal frequency estimations
Issue Date: 2005
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Altınkaya, M. A., Anarım, E., and Sankur, B. (2005). Removal of the phase noise in the autocorrelation estimates with data windowing. Paper presented at 13th European Signal Processing Conference, EUSIPCO 2005; Antalya; Turkey (pp. 261-264). IEEE.
Abstract: The sinusoidal frequency estimation from short data records based on Toeplitz autocorrelation (AC) matrix estimates suffer from phase noise. This effect becomes prominent especially when additive noise vanishes becoming a nuisance, that is at high signal-to-noise ratios (SNR). Based on both analytic derivation of the AC lag terms and simulation experiments, we show that data windowing can mitigate the limitations caused by the phase noise. Thus with proper windowing, the variance of the frequency estimate is no more limited by phase noise, but it continues to decrease linearly with the SNR. The cases of the Pisarenko frequency estimator and of MUSIC, both for the single sinusoid case, are analyzed in detail.
Description: 13th European Signal Processing Conference, EUSIPCO 2005; Antalya; Turkey; 4 September 2005 through 8 September 2005
ISBN: 9781604238211
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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