This paper addresses the problem of adaptive multichannel signal detection in additive
correlated non-Gaussian noise using a parametric model-based approach. The adaptive …

This paper discusses the problem of adaptive radar target detection in non-Gaussian noise
backgrounds which can be modeled as a spherically invariant random process (SIRP). The …

The paper addresses the problem of multichannel signal detection in additive correlated non-
Gaussian noise using the innovations approach. Although this problem has been addressed …

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 …

Adaptive detection of signals embedded in correlated Gaussian noise has been an active
field of research in the last decades. This topic is important in many areas of signal …

The classical problem of detecting a complex signal of unknown amplitude in colored
Gaussian noise is revisited in the context of adaptive detection with limited training data via …

We have addressed the derivation and the analysis of an adaptive decision scheme to
detect possible extended targets modeled as Gaussian vectors known to belong to a given …

The subject of this report is the detection of weak targets in a strong clutter environment. Two
situations arise depending on whether or not the weak targets can be separated from the …

In this paper we consider the problem of adaptive radar detection in Gaussian disturbance
with unknown spectral properties. To this end we resort to a Bayesian approach based on a …

Adaptive detection of a signal competing with Gaussian interference with spatially varying
power is addressed in this letter. Invariance principle is used to focus the attention on a class …