Decentralized Covert and Collaborative Radio Surveillance on a Group of Mobile Ground Nodes by a UAV Swarm

Hailong Huang, Andrey V. Savkin, Wei Ni

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


This paper considers using UAVs to carry out an active and collaborative radio surveillance on a group of ground mobile nodes while disguising the surveillance intention. The UAVs try to prevent being visually noticed by the nodes, and a new measure to quantify the disguising performance is proposed. We formulate a new trajectory optimization problem to maximize the new disguising metric subject to an uninterrupted surveillance requirement and the collision avoidance and the aeronautic maneuverability of the UAVs. A model predictive control (MPC) based scheme is developed. Computer simulations and comparisons with a random trajectory construction method show that the proposed method guarantees the surveillance performance without the loss of disguising performance.
Original languageEnglish
Title of host publication2020 IEEE 18th International Conference on Industrial Informatics (INDIN)
Number of pages4
ISBN (Electronic)9781728149646
Publication statusPublished - Jul 2020
Externally publishedYes


  • covert radio surveillance
  • decentralized control
  • model predictive control (MPC)
  • trajectory planning
  • UAV swarm
  • Unmanned aerial vehicles (UAVs)
  • wireless communications

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