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 …

It is often difficult to obtain sufficient training data for adaptive signal detection, which is
required to calculate the unknown noise covariance matrix. Additionally, interference is …

This paper deals with the problem of adaptive multidimensional/multichannel signal
detection in homogeneous Gaussian disturbance with unknown covariance matrix and …

This paper investigates the problem of adaptive detection of distributed targets in power
heterogeneous clutter. In the considered scenario, all the data share the identical structure …

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 …

Spectrum sensing for cognitive radio requires effective monitoring of wide bandwidths,
which translates into high-rate sampling. Traditional spectrum sensing methods employing …

This paper considers the detection of a target in a distributed radar system, wherein the
received reflections from the said target are contaminated with heterogeneous clutter …

This paper investigates the problem of detecting a distributed target in the presence of signal
mismatch in a partially homogeneous environment. To design a selective detector, we …

In this paper, we focus on the coexistence between a MIMO radar and cellular base stations.
We study the interfering channel estimation, where the radar is operated in the “search and …

Coherent integration for high‐speed multi‐targets detection is a challenging task in radar
applications. First, range migration (RM) and Doppler frequency migration (DFM) induced by …