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 …

To eliminate the influence of target returns on the estimation of local sea clutter distributions,
an improved iterative censoring scheme (ICS) for constant false-alarm rate detectors is …

We consider the adaptive target detection problem in colocated MIMO radar where
disturbance covariance matrix is unknown, and no training data are available. A tunable …

This paper deals with the problem of adaptive vector subspace signal detection in partially
homogeneous Gaussian disturbance and structured (unknown) deterministic interference …

Recently, in the context of covariance matrix estimation, in order to improve as well as to
regularize the performance of the Tyler's estimator also called the Fixed-Point Estimator …

We exploit persymmetric structures to design a generalized likelihood ratio test for detecting
subspace signals in homogeneous Gaussian clutter with unknown covariance matrix. The …

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 …

In this part of the paper, we continue to study the problem of detecting a double subspace
signal in Gaussian noise. Precisely, we address the detection problem in partially …

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