Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/4622
Title: Subspace-based frequency estimation of sinusoidal signals in alpha-stable noise
Authors: Altınkaya, Mustafa Aziz
Deliç, Hakan
Sankur, Bülent
Anarım, Emin
Keywords: Alpha-stable noise
Frequency estimation
Impulsive noise
Parameter estimation
Subspace method
Issue Date: Dec-2002
Publisher: Elsevier Ltd.
Source: Altınkaya, M. A., Deliç, H., Sankur, B., and Anarım, E. (2002). Subspace-based frequency estimation of sinusoidal signals in alpha-stable noise. Signal Processing, 82(12), 1807-1827. doi:10.1016/S0165-1684(02)00313-4
Abstract: In the frequency estimation of sinusoidal signals observed in impulsive noise environments, techniques based on Gaussian noise assumption are unsuccessful. One possible way to find better estimates is to model the noise as an alpha-stable process and to use the fractional lower order statistics (FLOS) of the data to estimate the signal parameters. In this work, we propose a FLOS-based statistical average, the generalized covariation coefficient (GCC). The GCCs of multiple sinusoids for unity moment order in SαS noise attain the same form as the covariance expressions of multiple sinusoids in white Gaussian noise. The subspace-based frequency estimators FLOS-multiple signal classification (MUSIC) and FLOS-Bartlett are applied to the GCC matrix of the data. On the other hand, we show that the multiple sinusoids in SαS noise can also be modeled as a stable autoregressive moving average process approximated by a higher order stable autoregressive (AR) process. Using the GCCs of the data, we obtain FLOS versions of Tufts-Kumaresan (TK) and minimum norm (MN) estimators, which are based on the AR model. The simulation results show that techniques employing lower order statistics are superior to their second-order statistics (SOS)-based counterparts, especially when the noise exhibits a strong impulsive attitude. Among the estimators, FLOS-MUSIC shows a robust performance. It behaves comparably to MUSIC in non-impulsive noise environments, and both in impulsive and non-impulsive high-resolution scenarios. Furthermore, it offers a significant advantage at relatively high levels of impulsive noise contamination for distantly located sinusoidal frequencies.
URI: http://doi.org/10.1016/S0165-1684(02)00313-4
http://hdl.handle.net/11147/4622
ISSN: 0165-1684
0165-1684
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Sürdürülebilir Yeşil Kampüs Koleksiyonu / Sustainable Green Campus Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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