Direction‐of‐arrival (DoA) estimation of targets improves with the number of elements
employed by a phased array radar antenna. Since larger arrays have high associated cost …

In this paper, we investigate the optimality of deep learning-based optimal sparse arrays in
comparison to well known conventional sparse linear arrays. Deep learning-based sparse …

In antenna array based radar applications, it is often desirable to choose an optimum
subarray from a full array to achieve a balance between hardware cost and resolution …

Selecting a sparse subset of antennas to obtain high-resolution direction-of-arrival estimates
while circumventing the complexity associated with using a large array is critical in many …

The authors present an algorithm for adaptive selection of pulse repetition frequency or
antenna activations for Doppler and direction of arrival estimation. The adaptation is …

Single-pass bistatic Synthetic Aperture Radar (SAR) Tomography, which involves a space-
borne transmitter and a ground-based multi-channel receiver, presents an alternative to …

Operation of the multiple-input multiple-output (MIMO) radar requires orthogonality between
signals transmitted from multiple transmitters. A simple way to obtain this orthogonality is by …

In cognitive radar, it may be desired to select an optimal subarray from a full antenna array in
each scan to reduce the cost and computational complexity. Previous works on antenna …

Radar sensors are one of the key elements in autonomous driving systems. The
performance of radar sensors is robust independently of weather and visibility conditions …

In diesem Artikel wird eine kognitive Radararchitektur basierend auf dem Drei-Ebenen-
Modell nach Rasmussen vorgestellt. Die fertigkeitsbasierte Verarbeitungsebene zeichnet …