5G Inspired Method for Ranging of UAVs in Swarming Composition

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 channels 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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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2021
Accession Number
AD1164247

Entities

People

  • Madjer De Andrade Martins

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • 5G Wireless Networks
  • Ad Hoc Networks
  • Aircrafts
  • Algorithms
  • Communication Channels
  • Communication Systems
  • Computational Science
  • Databases
  • Doppler Effect
  • Drone Swarms
  • Electrical Engineering
  • Information Science
  • Information Theory
  • Mobile Ad Hoc Networks
  • Monte Carlo Method
  • Network Science
  • Orthogonal Frequency Division Multiplexing
  • Range Finding
  • Signal Processing
  • Unmanned Aerial Vehicles

Readers

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Technology Areas

  • 5G
  • 5G - Internet of Things
  • Autonomy
  • Autonomy - Autonomous System Control