基于群智能优化的多雷达协同任务分配算法

    Multi-radar Collaborative Task Assignment Algorithm Based on Swarm Intelligence Optimization

    • 摘要: 针对多雷达协同探测场景下多种协同探测模式并存、多任务分配优化求解复杂的问题,提出了一种基于群智能优化的多雷达协同任务分配算法,构建了以探测目标效能、可用协同模式、参与节点数量为参数的协同策略收益函数。在此基础上,将多任务分配问题转换成了一个组合优化问题,并通过采用群智能优化算法,实现了快速优化求解。仿真结果表明,该文提出的算法可以有效实现多雷达协同任务分配,求解效率高效,满足在线实时性要求。

       

      Abstract: In multi-radar collaborative detection scenario, multi-task optimal assignment becomes complexity due to the coexisting of multiple cooperative modes. To solve this problem, a multi-radar collaborative task assignment algorithm is proposed in this paper, and a gain function of collaborative strategy is constructed based on detection efficiency, usable collaborative modes and the numbers of participant nodes. Then the multi-task assignment problem is converted to a combinational optimization problem, and a swarm intelligence optimization algorithm is used to solve this problem efficiently. Simulation experiments demonstrate that the proposed algorithm can schedule multi-radar collaborative tasks effectively, and satisfied the requirement of online real-time task scheduling.

       

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