SPROSYOct 14, 2021

A Robotic Antenna Alignment and Tracking System for Millimeter Wave Propagation Modeling

arXiv:2110.07106v13 citations
Originality Incremental advance
AI Analysis

This enables more efficient V2X measurements for wireless communication research, though it is incremental over existing mechanical beam-steering systems.

The paper tackles the problem of millimeter wave propagation modeling by developing a robotic antenna alignment and tracking system that achieves tracking response times of 27.8 ms and positioning accuracy of 17 cm in 3D and 1.1 degrees in yaw/pitch.

In this paper, we discuss the design of a sliding-correlator channel sounder for 28 GHz propagation modeling on the NSF POWDER testbed in Salt Lake City, UT. Beam-alignment is mechanically achieved via a fully autonomous robotic antenna tracking platform, designed using commercial off-the-shelf components. Equipped with an Apache Zookeeper/Kafka managed fault-tolerant publish-subscribe framework, we demonstrate tracking response times of 27.8 ms, in addition to superior scalability over state-of-the-art mechanical beam-steering systems. Enhanced with real-time kinematic correction streams, our geo-positioning subsystem achieves a 3D accuracy of 17 cm, while our principal axes positioning subsystem achieves an average accuracy of 1.1 degrees across yaw and pitch movements. Finally, by facilitating remote orchestration (via managed containers), uninhibited rotation (via encapsulation), and real-time positioning visualization (via Dash/MapBox), we exhibit a proven prototype well-suited for V2X measurements.

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