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https://www.repositorio.mar.mil.br/handle/ripcmb/844794
Title: | 5G inspired method for ranging of UAVs in swarming composition |
Authors: | Martins, Madjer de Andrade |
metadata.dc.contributor.advisor: | Garren, David A. |
Keywords: | 5th Generation Mobile Networks Swarm Drones 5G Network Zadoff-Chu Sequence |
DGPM knowledge areas: | Telecomunicações |
Issue Date: | Sep-2021 |
Publisher: | Naval Postgraduate School (NPS) |
Citation: | MARTINS, Madjer de Andrade. 5G inspired method for ranging of UAVs in swarming composition. 88 f. 2021. Thesis (Master of Science in Eletrical Engineering) - Naval Postgraduate School, California USA, 2021. |
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. |
Access: | Open access |
URI: | http://www.repositorio.mar.mil.br/handle/ripcmb/844794 |
Type: | Master thesis |
Appears in Collections: | Telecomunicações: Coleção de Dissertações |
Files in This Item:
File | Description | Size | Format | |
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21Sep_de Andrade Martins_Madjer.pdf | 2,84 MB | Adobe PDF | ![]() View/Open | |
Termo_Madjer_Martins.pdf | 977,81 kB | Adobe PDF | ![]() View/Open |
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