The propagator method for source bearing estimation
Signal Processing
Signal processing with alpha-stable distributions and applications
Signal processing with alpha-stable distributions and applications
Subspace-based frequency estimation of sinusoidal signals in alpha-stable noise
Signal Processing - Signal processing with heavy-tailed models
TDE, DOA and Related Parameter Estimation Problems in Impulsive Noise
SPWHOS '97 Proceedings of the 1997 IEEE Signal Processing Workshop on Higher-Order Statistics (SPW-HOS '97)
Fast estimation of the parameters of alpha-stable impulsiveinterference
IEEE Transactions on Signal Processing
Robust multiuser detection in non-Gaussian channels
IEEE Transactions on Signal Processing
Subspace-based direction-of-arrival estimation using nonparametricstatistics
IEEE Transactions on Signal Processing
A subspace-based direction finding algorithm using fractional lowerorder statistics
IEEE Transactions on Signal Processing
Paper: Modeling by shortest data description
Automatica (Journal of IFAC)
Adaptive target detection in foliage-penetrating SAR images using alpha-stable models
IEEE Transactions on Image Processing
Robust and computationally efficient signal-dependent method for joint DOA and frequency estimation
EURASIP Journal on Advances in Signal Processing
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We consider the problem of joint angle and Doppler estimation for space-time adaptive processing (STAP) airborne radar in non-Gaussian clutter which is modeled as a complex symmetric alpha stable S@aS process. We investigate the performance of the subspace algorithms based on the sign covariance matrix estimate (SCM) which has almost robust performance in heavy tailed noise [S. Visuri, H. Oja, V. Koivunen, Subspace-based direction-of-arrival estimation using non-parametric statistics, IEEE Trans. Signal Process. 49 (September 2001) 2060-2073]. We propose a new class of covariance estimation based on phased fractional lower-order moment (PFLOM). Performance of the proposed technique is assessed through simulations and it is shown that this algorithm reveals better performance than fractional lower order moment (FLOM) and SCM based algorithms [T. Liu, J.M. Mendel, A subspace-based direction finding algorithm using fractional lower order statistics, IEEE Trans. Signal Process. 49 (8) (August 2001) 1605-1613; P. Tsakalides, et al., Angle/Doppler estimation in heavy tailed clutter backgrounds, IEEE Trans. Aerospace Electron. Syst. 35 (2) (April 1999) 419-436; S. Visuri, H. Oja, V. Koivunen, Subspace-based direction-of-arrival estimation using non-parametric statistics, IEEE Trans. Signal Process. 49 (September 2001) 2060-2073].