The WCLN Lab is equipped with advanced radio hardware and compute platforms for developing, validating, and demonstrating techniques for localization, sensing, and communication in next-generation networks. The sensing and communication area includes: Ettus USRPs X410 and X310; TMYTEK up/down converters, beamforming arrays, and reconfigurable intelligent surfaces for mmWave frequencies; ultra-wideband devices; 3D and 4D mmWave MIMO radars; measurement instrumentation; RGB-D cameras; and robotics platforms. The AI and inference area includes GPU-accelerated computing.
Made openly available xG-Loc, the first open access dataset for location awareness fully compliant with 3GPP specifications. xG-Loc includes received localization signals, time/angle measurements, and analytics in various scenarios and frequency ranges.
xG-Loc is publicly available on IEEE DataPort at this link.
Developed a simulation platform for 5G and Beyond localization which is fully compliant with 3GPP technical specifications.
Developed multimodal sensing techniques for tracking and classification of multiple targets in industrial environments using an automotive MIMO radar at mmWaves and a camera.
Developed wireless sensing techniques for tracking and classification of multiple targets in industrial environments using an automotive MIMO radar at mmWaves.
Outdoor multitarget tracking and classification
Developed wireless sensing techniques for tracking and classification of multiple targets in outdoor environments using an automotive MIMO radar at mmWaves.
WCLN Lab at Expo 2020
WCLN Lab disseminated its activities on Localization-of-Things at EXPO 2020.