Autonomous Swarm of UAVs for Tracking of Flying Insects with Harmonic Radar

A. Lavrenko, Z. Barry, R. Norman, C. Frazer, Y. Ma, G. Woodward, S. Pawson

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
84 Downloads (Pure)

Abstract

In this paper, we present a design and first proof-of-concept test results of a distributed radio-localization system for tracking of moving targets with a swarm of drones. In particular, we develop and test a software framework that uses bistatic ranges to follow a target in-flight. We conduct full-system flight test with up to two drones in the air, three simulated drones, and a laptop equipped with a GPS module as the target. The system is shown to dynamically track the target as it moved, with both real and simulated drones following it in a specified formation.
Original languageEnglish
Title of host publication2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)
Place of PublicationPiscataway, NJ
PublisherIEEE
ISBN (Electronic)978-1-7281-8964-2
ISBN (Print)978-1-7281-8965-9
DOIs
Publication statusPublished - 15 Jun 2021
EventIEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Online Event
Duration: 25 Apr 202128 Apr 2021
Conference number: 93
https://events.vtsociety.org/vtc2021-spring/

Publication series

NameIEEE Vehicular Technology Conference (VTC-Spring)
PublisherIEEE
Volume2021
ISSN (Print)1090-3038
ISSN (Electronic)2577-2465

Conference

ConferenceIEEE 93rd Vehicular Technology Conference, VTC 2021-Spring
Abbreviated titleVTC2021-Spring
CityOnline Event
Period25/04/2128/04/21
Internet address

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