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 …

In this two-part paper, we consider the problem of adaptive multidimensional/multichannel
signal detection in Gaussian noise with unknown covariance matrix. The test data (primary …

We consider decentralized detection of an unknown signal corrupted by zero-mean
unimodal noise via wireless sensor networks. We assume the presence of both smart and …

In this paper, we consider moving target detection using a distributed multiple-input multiple-
output (MIMO) radar on stationary platforms in nonhomogeneous clutter environments. Our …

In this paper, we consider the problem of moving target detection, and a novel radar system
with multiple moving platforms is proposed. Each moving platform is equipped with multiple …

Phased-multiple-input and multiple-output (MIMO) radar is a flexible technique which enjoys
the advantages of MIMO radar without sacrificing the main advantage of phased-array radar …

This paper considers moving target detection (MTD) with distributed multi-input multi-output
(MIMO) radars in non-homogeneous environments, where the received disturbance signal …

This article provides a survey of recent results on exploiting parametric auto-regressive (AR)
models for adaptive radar target detection. Specifically, three types of radar systems are …

This paper deals with the problem of detecting a moving range-spread target in distributed
MIMO radar. A new knowledge-aided (KA) model that takes into account the …

This paper investigates the problem of detecting a multichannel signal embedded in
subspace interference and Gaussian noise. The interference lies in a known subspace but …