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Cooperative Loitering Munition Swarm Online Patrolling Route Planning with Nonlinear Seeker Measurement

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  • Haifeng Ling
  • Hongchuan Luo
  • Linyuan Bai
  • Tao Zhu
  • Qing Wang
  • Lidong Yu

Abstract

With the development of autonomous systems, the operational use of loitering munition is shifting from the following of a preplanned fixed route without communication to smart decision-making and collaborative cooperation with sharing information. In this paper, we study the autonomous decision-making and cooperative control strategy of online patrolling for a swarm of loitering munitions using communication to coordinate their route based on maximizing the information they gathered in the operation region. Taking the non-Gaussian nonlinear property of airborne radar seeker into account, we utilized a particle filter-based method to evaluate or to predict the information quality of each action candidate. We also implemented a coordinate descent scheme to enable a distributed and scalable swarm decision-making. Simulation results show that the proposed method provides a better estimation than baselines without the need for external or centralized decision agent.

Suggested Citation

  • Haifeng Ling & Hongchuan Luo & Linyuan Bai & Tao Zhu & Qing Wang & Lidong Yu, 2020. "Cooperative Loitering Munition Swarm Online Patrolling Route Planning with Nonlinear Seeker Measurement," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-10, October.
    • Handle: RePEc:hin:jnlmpe:7646920
    DOI: 10.1155/2020/7646920
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