8B.1 RadarHub: A Real-time Algorithm Testbed

Tuesday, 29 August 2023: 4:30 PM
Great Lakes A (Hyatt Regency Minneapolis)
Boon Leng Cheong, University of Oklahoma, Norman, OK

The Advanced Radar Research Center at the University of Oklahoma has developed a new method for data sharing and visualization. We called it RadarHub. It serves as a hub to connect users and radars. For radars, RadarHub acts as a central location to report home when connected to the internet, allowing for real-time data transmission and system status reporting. Meanwhile, for users, RadarHub provides a portal for accessing both real-time and archived data. Developed with a Python-based backend, RadarHub offers a testbed for high-level research algorithms that operate on radar moments or base products. During the presentation, a few examples of such on-the-fly algorithms, like AI velocity unfolding and KDP derivation, will be presented to demonstrate the potential of integrating research algorithms into the real-time workflow. Currently, users can browse and visualize archived data from PX-1000 and RaXPol on the RadarHub website at https://radarhub.arrc.ou.edu.
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