5G inspired method for ranging of UAVs in swarming composition

• Ano de defesa: 2021
• Autor(a) principal: Martins, Madjer de Andrade
• Orientador(a): Garren, David A.
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Naval Postgraduate School (NPS)
• Palavras-chave em Português: 5th Generation Mobile Networks; Swarm Drones; 5G Network; Zadoff-Chu Sequence
• Link de acesso: http://www.repositorio.mar.mil.br/handle/ripcmb/844794

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.