This paper is concerned with issues and techniques associated with the development of
both optimal and adaptive (data dependent) reduced-rank signal processing architectures …

We address adaptive radar detection of targets embedded in ground clutter dominated
environments characterized by a symmetrically structured power spectral density. At the …

Multiple-stage adaptive architectures are conceived to face with the problem of target
detection buried in noise, clutter, and intentional interference. First, a scenario where the …

This paper describes and characterizes a new bistatic space-time adaptive processing
(STAP) clutter mitigation method. The approach involves estimating and compensating …

A new class of robust space-time adaptive beamforming techniques is introduced to address
a broad range of subspace leakage phenomena that arise in many sensor array …

We address adaptive radar detection of targets embedded in clutter characterized by a
symmetrically structublack power spectral density (PSD) and persymmetric covariance …

The problem of detecting a subspace signal in colored Gaussian noise with unknown
covariance matrix is investigated by incorporating persymmetric structure of received data …

This paper addresses the problem of detecting a signal in partially homogeneous and
homogeneous environments. In partially homogeneous environments, ie, both the test data …

In this correspondence, we deal with the problem of detecting the signal of interest in the
presence of Gaussian clutter with symmetric spectrum. In particular, we consider the so …

In this paper, we propose a systematic and unifying framework to deal with adaptive radar
detection in the presence of Gaussian interference sharing a persymmetric covariance …