The problem of adaptive constant false alarm rate (CFAR) detection in a spatially correlated
background environment is studied. The clutter is modelled spatially as a first-order Markov …

The false alarm regulation capabilities and the detection performance of a CFAR processor
depend on the robustness of the noise level estimation. The well known cell-averaging (CA) …

We present an adaptive algorithm aimed at detecting multiple point-like radar targets
embedded in correlated Gaussian noise. The proposed detector modifies and improves the …

Abstract Several Constant False Alarm Rate (CFAR) architectures, where radar systems
often employ them to automatically adapt the detection threshold to the local background …

Detecting targets in nonhomogeneous backgrounds is a difficult task, particularly if the
detection processor must respect a Constant False Alarm Rate (CFAR). In this article, a …

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 …

Most radar systems need some form of Doppler processing to filter out clutter and thereby
reveal faster targets. The using of a moving target indicator (MTI) as a part of detection …

The detection of radar targets in a background, the statistical parameters of which are
unknown and may not be stationary, can be effectively achieved through CFAR processors …

A different technique of CFAR detectors procedure for moving target detection in noise
environment conditions with a Poisson distributed flow and Raleigh amplitude distribution is …

Order-statistics (OS) is a constant false alarm rate (CFAR) technique which is relatively
immune to the presence of interfering targets among the reference cells used to determine …