A robust MUSIC estimator for polynomial phase signals in /spl alpha/-stable noise

In this paper, we address the problem of estimation of the parameters of mono and multicomponent polynomial phase signals (PPS) affected by alpha-stable noise using subspace methods. We propose two new estimators: a modified multiple signal classification MUSIC for PPS affected by Gaussian noise, an...

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Bibliographic Details
Main Authors: Djeddi, M., Belkacemi, H., Benidir, M., Marcos, S.
Format: Conference Proceeding
Language:English
Subjects:
1f noise
Gaussian noise
MONOS devices
Multiple signal classification
Noise robustness
Parameter estimation
Phase estimation
Phase noise
Polynomials
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Summary:In this paper, we address the problem of estimation of the parameters of mono and multicomponent polynomial phase signals (PPS) affected by alpha-stable noise using subspace methods. We propose two new estimators: a modified multiple signal classification MUSIC for PPS affected by Gaussian noise, and a modified robust MUSIC algorithm for PPS based on fractional lower-order statistics (FLOS). Simulation results show that the robust MUSIC estimator is able to estimate the values of the phase parameters in impulsive environment hence outperforming the standard estimators.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2005.1416047