5G inspired method for ranging of UAVs in swarming composition
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB) |
Texto Completo: | http://www.repositorio.mar.mil.br/handle/ripcmb/844794 |
Resumo: | 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. |
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Martins, Madjer de AndradeGarren, David A.2022-07-05T18:13:38Z2022-07-05T18:13:38Z2021-09MARTINS, 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.http://www.repositorio.mar.mil.br/handle/ripcmb/844794The 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.engNaval Postgraduate School (NPS)Telecomunicações5th Generation Mobile NetworksSwarm Drones5G NetworkZadoff-Chu Sequence5G inspired method for ranging of UAVs in swarming compositioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisEUAinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB)instname:Marinha do Brasil (MB)instacron:MBORIGINAL21Sep_de Andrade Martins_Madjer.pdf21Sep_de Andrade Martins_Madjer.pdfapplication/pdf2904304https://www.repositorio.mar.mil.br/bitstream/ripcmb/844794/1/21Sep_de%20Andrade%20Martins_Madjer.pdfec52dda387d3ac00fcae649c8e35e011MD51Termo_Madjer_Martins.pdfTermo_Madjer_Martins.pdfapplication/pdf1001281https://www.repositorio.mar.mil.br/bitstream/ripcmb/844794/2/Termo_Madjer_Martins.pdff9ee7b2a5f1d8365b29f867c76c5a794MD52TEXT21Sep_de Andrade Martins_Madjer.pdf.txt21Sep_de Andrade Martins_Madjer.pdf.txtExtracted texttext/plain89692https://www.repositorio.mar.mil.br/bitstream/ripcmb/844794/3/21Sep_de%20Andrade%20Martins_Madjer.pdf.txt98e3e6e46890c03e0e8d19c26a842966MD53Termo_Madjer_Martins.pdf.txtTermo_Madjer_Martins.pdf.txtExtracted texttext/plain1https://www.repositorio.mar.mil.br/bitstream/ripcmb/844794/5/Termo_Madjer_Martins.pdf.txt68b329da9893e34099c7d8ad5cb9c940MD55THUMBNAIL21Sep_de Andrade Martins_Madjer.pdf.jpg21Sep_de Andrade Martins_Madjer.pdf.jpgGenerated Thumbnailimage/jpeg1807https://www.repositorio.mar.mil.br/bitstream/ripcmb/844794/4/21Sep_de%20Andrade%20Martins_Madjer.pdf.jpgd4d9e4bbbf50e2e4bddcf7761fa3049cMD54Termo_Madjer_Martins.pdf.jpgTermo_Madjer_Martins.pdf.jpgGenerated Thumbnailimage/jpeg1704https://www.repositorio.mar.mil.br/bitstream/ripcmb/844794/6/Termo_Madjer_Martins.pdf.jpg743e0cad9031416fcd0c37afcd58ac2cMD56ripcmb/8447942022-09-21 15:28:40.16oai:www.repositorio.mar.mil.br:ripcmb/844794Repositório InstitucionalPUBhttps://www.repositorio.mar.mil.br/oai/requestdphdm.repositorio@marinha.mil.bropendoar:2022-09-21T18:28:40Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB) - Marinha do Brasil (MB)false |
dc.title.pt_BR.fl_str_mv |
5G inspired method for ranging of UAVs in swarming composition |
title |
5G inspired method for ranging of UAVs in swarming composition |
spellingShingle |
5G inspired method for ranging of UAVs in swarming composition Martins, Madjer de Andrade 5th Generation Mobile Networks Swarm Drones 5G Network Zadoff-Chu Sequence Telecomunicações |
title_short |
5G inspired method for ranging of UAVs in swarming composition |
title_full |
5G inspired method for ranging of UAVs in swarming composition |
title_fullStr |
5G inspired method for ranging of UAVs in swarming composition |
title_full_unstemmed |
5G inspired method for ranging of UAVs in swarming composition |
title_sort |
5G inspired method for ranging of UAVs in swarming composition |
author |
Martins, Madjer de Andrade |
author_facet |
Martins, Madjer de Andrade |
author_role |
author |
dc.contributor.author.fl_str_mv |
Martins, Madjer de Andrade |
dc.contributor.advisor1.fl_str_mv |
Garren, David A. |
contributor_str_mv |
Garren, David A. |
dc.subject.por.fl_str_mv |
5th Generation Mobile Networks Swarm Drones 5G Network Zadoff-Chu Sequence |
topic |
5th Generation Mobile Networks Swarm Drones 5G Network Zadoff-Chu Sequence Telecomunicações |
dc.subject.dgpm.pt_BR.fl_str_mv |
Telecomunicações |
description |
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. |
publishDate |
2021 |
dc.date.issued.fl_str_mv |
2021-09 |
dc.date.accessioned.fl_str_mv |
2022-07-05T18:13:38Z |
dc.date.available.fl_str_mv |
2022-07-05T18:13:38Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
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. |
dc.identifier.uri.fl_str_mv |
http://www.repositorio.mar.mil.br/handle/ripcmb/844794 |
identifier_str_mv |
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. |
url |
http://www.repositorio.mar.mil.br/handle/ripcmb/844794 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Naval Postgraduate School (NPS) |
publisher.none.fl_str_mv |
Naval Postgraduate School (NPS) |
dc.source.none.fl_str_mv |
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Marinha do Brasil (MB) |
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institution |
MB |
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Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB) |
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Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB) |
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