TY - GEN
T1 - A Robotic Antenna Alignment and Tracking System for Millimeter Wave Propagation Modeling
AU - Keshavamurthy, Bharath
AU - Zhang, Yaguang
AU - Anderson, Christopher R.
AU - Michelusi, Nicolo
AU - Krogmeier, James V.
AU - Love, David J.
N1 - Publisher Copyright:
© 2022 USNC-URSI.
PY - 2022
Y1 - 2022
N2 - In this paper, we discuss the design of a sliding-correlator channel sounder for 28 GHz propagation mod-eling 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 kine-matic correction streams, our geo-positioning subsystem achieves a 3D accuracy of 17 cm, while our principal axes positioning subsystem achieves an average accuracy of 1.1º 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.
AB - In this paper, we discuss the design of a sliding-correlator channel sounder for 28 GHz propagation mod-eling 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 kine-matic correction streams, our geo-positioning subsystem achieves a 3D accuracy of 17 cm, while our principal axes positioning subsystem achieves an average accuracy of 1.1º 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.
UR - http://www.scopus.com/inward/record.url?scp=85139086644&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139086644&partnerID=8YFLogxK
U2 - 10.23919/USNC-URSINRSM57467.2022.9881448
DO - 10.23919/USNC-URSINRSM57467.2022.9881448
M3 - Conference contribution
AN - SCOPUS:85139086644
T3 - 2022 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2022 - Proceedings
SP - 145
EP - 146
BT - 2022 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2022
Y2 - 4 January 2022 through 8 January 2022
ER -