This letter discusses the issue of joint angle-of-arrival (AoA) and angle-of-departure (AoD)
estimation for multi-input multi-output (MIMO) arrays, so as to conceive a novel one …

State-of-the-art autonomous vehicles use all kinds of sensors based on light, such as a
camera or LIDAR (Laser Imaging Detection And Ranging). These sensors tend to fail when …

In this research paper, we have devised single-snapshot direction-of-arrival (DOA)
algorithms for a uniform circular array (UCA) to resolve multiple targets. Estimation of signal …

State-of-the-art autonomous vehicles mainly rely on optical sensors to perceive their
environment. However, the performance of these sensors worsens dramatically in …

In this paper, we describe a new approach to single-snapshot direction-of-arrival (DOA)
estimation using signal processing on graphs (SPG). Our approach uses SPG principles and …

Localizing micro unmanned aerial vehicles (MUAV) using passive radar systems makes it
possible to counter the threat they pose to critical infrastructure. In this paper, we discuss an …

This paper proposes an improved minimum variance distortionless response (MVDR) based
TOA estimation algorithm for 5G NR signals under multipath environments. The proposed …

Many direction-of-arrival (DOA) estimation algorithms require accurate measurements from
all sensing elements on an antenna array. However, in various practical settings, it becomes …

This paper presents a high-resolution automotive multi-input multi-output (MIMO) radar with
sparse arrays using beamspace matrix completion. Sparse arrays, while offering a larger …

Localization of objects or persons is possible if they are transmitting radio signals. Finding
the direction of arrival (DoA) of the signals coming from such an emitter is typically the first …