The purpose of this paper is to survey and assess the state-of-the-art in automatic target
recognition for synthetic aperture radar imagery (SAR-ATR). The aim is not to develop an …

We consider the channel estimation problem in point-to-point reconfigurable intelligent
surface (RIS)-aided millimeter-wave (mmWave) MIMO systems. By exploiting the low-rank …

This paper links multiple invariance sensor array processing (MI-SAP) to parallel factor
(PARAFAC) analysis, which is a tool rooted in psychometrics and chemometrics. PARAFAC …

Radar technology is used for many applications of advanced driver assistance systems
(ADASs) and is considered as one of the key technologies for highly automated driving …

The theme of this thesis is the estimation of model parameters of a radio channel snapshot.
The main focus was the development of a general data model for the measured radio …

Detection and estimation problems in multiple-input multiple-output (MIMO) radar have
recently drawn considerable interest in the signal processing community. Radar has long …

The emerging space-air-ground integrated network has attracted intensive research and
necessitates reliable and efficient aeronautical communications. This paper investigates …

Multidimensional harmonic retrieval problems are encountered in a variety of signal
processing applications including radar, sonar, communications, medical imaging, and the …

Canonical decomposition is a key concept in multilinear algebra. In this paper we consider
the decomposition of higher-order tensors which have the property that the rank is smaller …

This paper proposes a closed-loop sparse channel estimation (CE) scheme for wideband
millimeter-wave hybrid full-dimensional multiple-input multiple-output and time division …