Title: Autonomous decision-making and resource scheduling for integrated radio frequency system

Authors: Hui Xue; Tao Zhang

Addresses: College of Systems Engineering, National University of Defence Technology, Changsha 410073, China ' College of Systems Engineering, National University of Defence Technology, Changsha 410073, China

Abstract: In view of the limitations of volume and weight of equipment assembled on airborne platform, integrated RF system will be the development trend of RF system on remote unmanned airborne vehicle (UAV). In order to improve the detection performances of intelligence UAV integrated RF system, this paper proposes an agent-based RF system architecture for UAV integrated RF system. The proposed system architecture can realise the autonomous decision-making of RF tasks and intelligent resource scheduling according to the obtained target information and threat environment. Firstly, the proposed system architecture of integrated RF system is introduced. Secondly, the autonomous decision algorithm embedded in agent is proposed. Thirdly, the improved multi-task resource scheduling algorithm is described. Then, the simulation experiments for UAV integrated RF system under different threat environments are given to verify the effectiveness of the proposed system architecture, autonomous decision-making algorithm and resource scheduling algorithm.

Keywords: autonomous decision-making; resource scheduling; integrated RF; agent; PetriNet.

DOI: 10.1504/IJAAC.2023.129391

International Journal of Automation and Control, 2023 Vol.17 No.2, pp.171 - 187

Received: 24 Jul 2021
Accepted: 14 Dec 2021
Published online: 07 Mar 2023 *

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