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 …

Device-free passive indoor localization is playing a critical role in many applications such as
elderly care, intrusion detection, smart home, etc. However, existing device-free localization …

Principal component analysis (PCA) is a commonly used pattern analysis method that maps
high-dimensional data into a lower-dimensional space maximizing the data variance, that …

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 …

The echo separation issue associated with different transmit antennas is the most technical
challenge in realizing the Multiple-Input Multiple-Output (MIMO) Synthetic Aperture Radar …

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

This paper presents two closed-form localization algorithms, a general algorithm and a
colocated algorithm, for distributed multiple-input multiple-output (MIMO) radar systems. In …

We consider a spectral sharing problem in which a statistical (or widely distributed) multiple-
input-multiple-output (MIMO) radar and an in-band full-duplex (IBFD) multi-user MIMO (MU …

In this paper, we propose a novel radar framework, referred to as multiple-input multiple-
output (MIMO) radar with element-pulse coding (EPC). The EPC employs Fourier basis in …