Self-Supervised Learning for Enhancing Angular Resolution in Automotive MIMO Radars

A novel framework to enhance the angular resolution of automotive radars is proposed. An approach to enlarge the antenna aperture using artificial neural networks is developed using a self-supervised learning scheme. Data from a high angular resolution radar, i.e., a radar with a large antenna aperture, is used to train a deep neural network...

From Cooling to Coupling and Back: A Novel Beam Switching Heatsink Antenna Array With CSRR Embedded Isolation Wall

A novel electromagnetic-thermal codesign and optimization methodology is proposed for thermal management in active finned-heatsink antenna arrays. An innovative complementary split-ring resonator embedded dual-functional (i.e., heat-dissipating electromagnetic-isolation) wall is introduced. For concept demonstration, a two-element unit cell...

5G SIW-Based Phased Antenna Array With Cosecant-Squared Shaped Pattern

In this article, a concept of a phased antenna array based on substrate integrated waveguide (SIW) technology for 5G base stations is proposed. The array has a cosecant radiation pattern in the vertical plane for uniform illumination in a sector area. The array itself consists of 16 SIW traveling wave subarrays of 12 slot-coupled microstrip...

Joint Features Extraction for Multiple Moving Targets Using (Ultra-)Wideband FMCW Signals in the Presence of Doppler Ambiguity

This article addresses the joint estimation of range, velocity and azimuth for multiple fast-moving targets using (ultra-)wideband (UWB) frequency-modulated continuous-wave (FMCW) radar with a phased array in the presence of Doppler ambiguities. The range migration of moving targets is described with the coupling of the fast-time and slow...