Millimeter-wave radars-on-chip enabling next-generation cyberphysical infrastructures

H Aghasi, P Heydari - IEEE Communications Magazine, 2020 - ieeexplore.ieee.org
This article provides an overview of current and future implementations of high-resolution
millimeter-wave active sensor technologies for applications in cyber-physical systems. The …

[PDF][PDF] mmWave radar sensors in robotics applications

D Barrett, A Alvarez - Texas Instrum., Dallas, TX, USA, Tech …, 2017 - sceweb.sce.uhcl.edu
When you conjure up an image of robots, you might envision massive machine arms with
visible coils and wire harnesses along a factory floor, with welding sparks flying. These …

Localization and activity classification of unmanned aerial vehicle using mmWave FMCW radars

PK Rai, H Idsøe, RR Yakkati, A Kumar… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
In this article, we present a novel localization and activity classification method for aerial
vehicle using mmWave frequency modulated continuous wave (FMCW) Radar. The …

Leveraging Acoustic AoA to Enhance mmWave Beam Search-based Blockage Prediction: An Experimental Study

R Hanahara, I Yonemura, K Yamamoto… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This paper proposes a novel device-free sensing framework, integrative heterogeneous
wave sensing (IHWS). IHWS leverages mmWave angular power profile obtained through …

[PDF][PDF] A practical toolbox for getting started with mmWave FMCW radar sensors

M Constapel, M Cimdins… - Proceedings of the …, 2019 - leopard.tu-braunschweig.de
In this paper, we sum up our experience gathered working with mmWave FMCW radar
sensors for localization problems. We give a glimpse of the foundations of radar that is …

RadNet: a testbed for mmwave radar networks

E Bashirov, M Canil, M Rossi - … of the 1st International Workshop on …, 2022 - dl.acm.org
Human sensing with millimeter waves (mmWaves) is rapidly gaining momentum. In
particular, mmWave radars are becoming the technology of choice in applications like …

Early warning of mmWave signal blockage using diffraction properties and machine learning

AF Dizche, A Duel-Hallen… - IEEE Communications …, 2022 - ieeexplore.ieee.org
Sensitivity to blockage challenges performance of millimeter-wave (mmWave)
communication systems. We apply the MiniRocket machine learning (ML) method to provide …

High-speed Machine Learning-enhanced Receiver for Millimeter-Wave Systems

D Garcia, R Ruiz, JO Lacruz… - IEEE INFOCOM 2023 …, 2023 - ieeexplore.ieee.org
Machine Learning (ML) is a promising tool to design wireless physical layer (PHY)
components. It is particularly interesting for millimeter-wave (mm-wave) frequencies and …

Subspace-Based Detector For Distributed Mmwave Mimo Radar Sensors

M Ahmadi, M Alaee-Kerahroodi, BS MR… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Driven by emerging applications, mmWave radars are increasingly being integrated into
indoor scene monitoring systems due to their ability to provide high accuracy range, velocity …

Multi-Modal Fusion Sensing: A Comprehensive Review of Millimeter-Wave Radar and Its Integration With Other Modalities

S Wang, L Mei, R Liu, W Jiang, Z Yin… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Millimeter-wave (mmWave) radar, with its high resolution, sensitivity to micro-vibrations, and
adaptability to various environmental conditions, holds immense potential across multi …