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Summary
This summary is machine-generated.

This study introduces a new algorithm for directional antennas in aircraft networks. It optimizes antenna selection and beam pointing for reliable communication in dynamic flying ad hoc networks (FANETs).

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Area of Science:

  • Aerospace Engineering
  • Wireless Communication Networks
  • Antenna Theory

Background:

  • Traditional omnidirectional antennas struggle with complex space electromagnetic environments and aircraft cluster collaboration.
  • High-gain directional antennas are increasingly used in aircraft for anti-jamming, anti-interception, and spatial multiplexing.
  • Modeling directional antenna-constrained Flying Ad Hoc Networks (FANETs) is complex due to real-time flight states and network topology.

Purpose of the Study:

  • To address communication challenges in directional networking of highly-dynamic aircraft clusters.
  • To propose an antenna selection and beam pointing control algorithm integrated with aircraft Guidance, Navigation, and Control (GNC) systems.
  • To maintain high-quality connections between flying nodes in dynamic FANETs.

Main Methods:

  • Developed an algorithm integrating dynamic flight state parameters (position, attitude).
  • Utilized high-precision multi-coordinate system transformations and spatial geometric analysis.
  • Enabled real-time optimization of antenna selection and beam pointing based on relative aircraft motion.

Main Results:

  • The algorithm accurately calculates optimal antenna selection.
  • Precise beam pointing directions are determined based on real-time node position data.
  • Demonstrated effectiveness through digital simulation and physical experiments.

Conclusions:

  • The proposed algorithm effectively maintains high-quality communication links in dynamic aircraft clusters.
  • Provides a valuable reference for designing optimized communication strategies in directional FANETs.
  • Highlights the importance of integrating GNC systems for advanced antenna control.