Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2421
Title: Phase dependence mitigation for autocorrelation-based frequency estimation
Authors: Altınkaya, Mustafa Aziz
Anarım, Emin
Sankur, Bülent
Keywords: Frequency estimation
Autocorrelation method
Data windowing
Phase dependence
Subspace methods
Issue Date: Mar-2008
Publisher: Elsevier Ltd.
Source: Altınkaya, M. A., Anarım, E., and Sankur, B. (2008). Phase dependence mitigation for autocorrelation-based frequency estimation. Digital Signal Processing: A Review Journal, 18(2), 249-266. doi:10.1016/j.dsp.2007.02.004
Abstract: The sinusoidal frequency estimation from short data records based on Toeplitz autocorrelation (AC) matrix estimates suffer from the dependence on the initial phases of the sinusoid(s). This effect becomes prominent when the impact of additive noise vanishes, 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 dependence. Thus with proper windowing, the variance of the frequency estimate is no more eclipsed by phase dependence, but it continues to decrease linearly with increasing SNR. The study covers both the cases of a single sinusoid and two sinusoids closely spaced in the frequency with the Pisarenko frequency estimator, MUSIC and principal component autoregressive frequency estimators. The trade-offs between the spectral broadening and the achieved minimum variance level due to the data window are analyzed in detail.
URI: http://doi.org/10.1016/j.dsp.2007.02.004
http://hdl.handle.net/11147/2421
ISSN: 1051-2004
1051-2004
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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