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Title: Phase noise mitigation in the autocorrelation estimates with data windowing: The case of two close sinusoids
Authors: Altınkaya, Mustafa Aziz
Anarım, Emin
Sankur, Bülent
Keywords: Phase noise
Computational advantages
High signal-to-noise ratio
Matrix approach
Noise mitigation
Issue Date: 2006
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Altınkaya, M. A., Anarım, E., and Sankur, B. (2006). Phase noise mitigation in the autocorrelation estimates with data windowing: The case of two close sinusoids. Paper presented at the 14th European Signal Processing Conference (EUSIPCO2006), September 4-8, 2006, Pisa, Italy.
Abstract: We address the phase noise and the superresolution problem in Toeplitz matrix-based spectral estimates. The Toeplitz autocorrelation (AC) matrix approach in spectral estimation brings in an order of magnitude computational advantage while the price paid is the phase noise that becomes effective at high signal-to-noise ratios (SNR). This noise can be mitigated with windowing the data though some concomitant loss in resolution occurs. The trade-offs between additive noise SNR, resolvability of sinusoids closer than the resolution limit, and behavior of the estimated AC lags and tone frequencies are investigated.
Description: 14th European Signal Processing Conference, EUSIPCO 2006; Florence; Italy; 4 September 2006 through 8 September 2006
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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