Multichannel adaptive signal detection uses test and training data jointly to form an adaptive
detector to determine whether a target exists. The resulting adaptive detectors typically …

Multiple-input multiple-output (MIMO) radar systems with widely separated antennas provide
spatial diversity by viewing the targets from different angles. In this paper, we use a novel …

This article investigates the dual-polarimetric target detection problem in non-Gaussian sea
clutter. The compound Gaussian model with the inverse Gamma texture is adopted to …

Radar polarimetry is an applied fundamental science field that is focused on understanding
interaction processes between radar waves and targets and disclosing their mechanisms …

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 article deals with the problem of detecting a marine target with coherent radars in a
correlated heavy-tailed sea clutter background. The heavy-tailed sea clutter is modeled by a …

Polarization diversity has proved to be a useful tool for radar detection, especially when
discrimination by Doppler effect is not possible. In this paper, we address the problem of …

The problem of detecting a subspace signal is studied in colored Gaussian noise with an
unknown covariance matrix. In the subspace model, the target signal belongs to a known …

Multiple-input-multiple-output (MIMO) radar systems with widely separated antennas enable
viewing the target from different angles, thereby providing spatial diversity gain. Polarimetric …

In this paper, we address the problem of detecting relatively small targets in the presence of
Gaussian disturbance with unknown covariance matrix. To this end, we jointly exploit the …