98 citations · 130 across the 11 of their papers we have counts for
6 papers · 1 filter
Residual Motion Compensation in Automotive MIMO SAR Imaging
Marco Manzoni, Marco Rizzi, Stefano Tebaldini +8
This paper deals with the analysis, estimation, and compensation of trajectory errors in automotive-based Synthetic Aperture Radar (SAR) systems. First of all, we define the geomet…
Multi-Beam Automotive SAR Imaging in Urban Scenarios
Marco Rizzi, Marco Manzoni, Stefano Tebaldini +8
Automotive synthetic aperture radar (SAR) systems are rapidly emerging as a candidate technological solution to enable a high-resolution environment mapping for autonomous driving.…
Deep Learning of Transferable MIMO Channel Modes for 6G V2X Communications
Lorenzo Cazzella, Dario Tagliaferri, Marouan Mizmizi +4
In the emerging high mobility Vehicle-to-Everything (V2X) communications using millimeter Wave (mmWave) and sub-THz, Multiple-Input Multiple-Output (MIMO) channel estimation is an…
Position-agnostic Algebraic Estimation of 6G V2X MIMO Channels via Unsupervised Learning
Lorenzo Cazzella, Dario Tagliaferri, Marouan Mizmizi +4
MIMO systems in the context of 6G Vehicle-to-Everything (V2X) will require an accurate channel knowledge to enable efficient communication. Standard channel estimation techniques,…
6G V2X Technologies and Orchestrated Sensing for Autonomous Driving
Marouan Mizmizi, Mattia Brambilla, Dario Tagliaferri +10
6G technology targets to revolutionize the mobility industry by revamping the role of wireless connections. In this article, we draw out our vision on an intelligent, cooperative,…
Channel Estimation for 6G V2X HybridSystems using Multi-Vehicular Learning
Marouan Mizmizi, Dario Tagliaferri, Damiano Badini +2
Channel estimation for hybrid Multiple Input Multiple Output (MIMO) systems at Millimeter-Waves (mmW)/sub-THz is a fundamental, despite challenging, prerequisite for an efficient d…