This work addresses the problem of covariance matrix estimation for adaptive radar
detection in correlated heavy tailed clutter. The clutter is modeled as a compound-Gaussian …

This paper deals with the problem of detecting a radar target signal against correlated non-
Gaussian clutter, which is modeled by the compound-Gaussian distribution. We prove that if …

Adaptive detection of signals embedded in Gaussian or non-Gaussian noise is a problem of
primary concern among radar engineers. We propose a recursive algorithm to estimate the …

The performance of ground-based surveillance radars strongly depends on the distribution
and spectral characteristics of ground clutter. To design signal processing algorithms that …

This paper investigates the problem of adaptive detection of distributed targets in power
heterogeneous clutter. In the considered scenario, all the data share the identical structure …

In this paper, we deal with the problem of modeling the backscattering from sea surface for
low-grazing-angle and high-resolution radar systems. Based on the electromagnetic two …

This paper addresses the imaging of objects located under a forest cover using polarimetric
synthetic aperture radar tomography (POLTOMSAR) at L-band. High-resolution spectral …

Deals with the problem of detecting subspace random signals against correlated non-
Gaussian clutter exploiting different degrees of knowledge on target and clutter statistical …

This article deals with the detection problem of a moving point-like target in correlated non-
Gaussian sea clutter, which is modeled by a compound Gaussian model with a lognormal …

This paper presents an application of the recent advances in the field of spherically invariant
random vector (SIRV) modeling for coherency matrix estimation in heterogeneous clutter …