5G INSPIRED METHOD FOR RANGING OF UAVS IN SWARMING COMPOSITION
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Authors
de Andrade Martins, Madjer
Subjects
5th generation mobile networks
swarm drones
swarming drones
drones
drones swarm
UAV
unmanned aerial vehicle
Zadoff-Chu Sequence
ZC sequence
matched filter
orthogonal frequency-division multiplexing
OFDM
frequency offset
Doppler effect
Doppler
ranging
distance
mean square error
MSE
bit error rate
signal-to-noise ratio
5G network
swarm drones
swarming drones
drones
drones swarm
UAV
unmanned aerial vehicle
Zadoff-Chu Sequence
ZC sequence
matched filter
orthogonal frequency-division multiplexing
OFDM
frequency offset
Doppler effect
Doppler
ranging
distance
mean square error
MSE
bit error rate
signal-to-noise ratio
5G network
Advisors
Robertson, Ralph C.
Garren, David A.
Date of Issue
2021-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
The employment of unmanned aerial vehicles is currently a fact in modern warfare. The benefit of using drones as a swarm, working together to accomplish a task, will help save lives; however, the communication among drones within a swarm is a challenge with the available technology due mainly to the power requirements to operate in a small device. Inspired by the massive machine-type communication 5th generation mobile networks, this work offers a novel method of identification and ranging for drones in swarm. The 5G communication channel's preamble with a Zadoff-Chu (ZC) sequence is expected to provide low power and less interference between devices and yet yield good mean-square error results when a matched filter is applied. Simulations considering different numbers of drones within a swarm embedded in noisy and Doppler-affected environments demonstrate promising results even in poor scenarios with small signal-to-noise ratio and high Doppler frequency shift, especially when the batch of ZC sequences' root indexes are selected into a special group.
Type
Thesis
Description
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Department
Electrical and Computer Engineering (ECE)
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NPS Report Number
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Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
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Copyright is reserved by the copyright owner.