摘要
战场用户决策的效用受限于决策的时机性和正确性,无人机为多个用户提供协同侦察服务时,减少侦察时间有助于用户更快获取决策需要的信息以提高决策时机性,延长侦察时间则能够获取更多有价值的信息,提高决策的正确性。为了权衡无人机侦察时间与侦察信息价值并提高多用户决策的总效用,提出了基于侦察任务时间、用户获取信息价值以及各用户权重的多用户决策效用模型,将多用户决策效用最大化问题建模为带约束的无人机路径规划问题。提出了一种基于性价比贪婪思想与路径收益动态监测机制的路径规划算法求解路径问题。对所提算法和对比算法在不同目标数量下的任务时间、信息价值及效用指标进行分析,结果表明,在不同规模的侦察目标下,所提算法与基于单一指标带时间约束的贪婪算法相比能够实现更高的多用户决策效用。
The utility of battlefield user’s decision depends on the decision’s timing and correctness.To improve decision timing,UAVs need to reduce reconnaissance time to helps users get the information faster.However,improving the user’s decision correctness requires UAV to spend more time getting more valuable information.To balance the reconnaissance time of UAV with the value of reconnaissance information,this paper proposed a multi-user decision utility model for improving the decision-making utility of users.This model was based on reconnaissance task time,the value of information obtained by users,and each user’s weight.Then modeled the reconnaissance process as the UAV path planning problem that maximizes the multi-user decision-making utility,and proposed a path planning algorithm based on the idea of cost-effective greed and the dynamic monitoring mechanism of path revenue.Finally,this paper analyzed the task time,information value,and utility indicators of the proposed algorithm and the comparison algorithm under different target numbers.The simulation results show that the proposed algorithm can achieve higher multi-user decision-making utility than the comparison algorithm under different scales reconnaissance targets.
作者
刘泽原
赵文栋
赵佳宜
刘存涛
李艾静
Liu Zeyuan;Zhao Wendong;Zhao Jiayi;Liu Cuntao;Li Aijing(College of Communications Engineering,Army Engineering University,Nanjing 210000,China)
出处
《计算机应用研究》
CSCD
北大核心
2021年第12期3564-3568,3573,共6页
Application Research of Computers
基金
国家自然科学基金资助项目。
关键词
协同侦察
多用户决策效用
侦察时间
信息价值
路径规划
cooperative reconnaissance
multi-user decision utility
reconnaissance time
information value
path planning
