无人异构集群相较于单一类型、单一个体的无人平台,能够完成更为复杂的任务,同时对严苛战场环境有着更高的适应度.在无人异构集群协同执行任务时,任务分配是至关重要的环节,需要考虑异构无人平台和任务的多种约束和目标.传统的任务分配...无人异构集群相较于单一类型、单一个体的无人平台,能够完成更为复杂的任务,同时对严苛战场环境有着更高的适应度.在无人异构集群协同执行任务时,任务分配是至关重要的环节,需要考虑异构无人平台和任务的多种约束和目标.传统的任务分配方法分配效率低且难以处理大规模复杂任务.联盟博弈通过形成由若干参与者组成的联盟,根据个体的属性、偏好对群体进行划分,从而实现个体以及群体利益的最大化.本文以无人异构集群任务分配为背景,研究了基于改进联盟博弈算法的最优分配策略,基于可能的战场环境设计了模拟任务场景并完成实验验证.首先,考虑异构平台在任务中的初始位置、速度、携带资源以及个体声誉等因素,建立了基于空间自适应博弈(Spatial adaptive play algorithm, SAP)的联盟博弈的任务分配算法模型.其次,基于任务场景,搭建了任务所需的软件与硬件平台.最后,针对模拟的战场环境,对所提算法及搭建的异构无人集群平台进行了实验验证.验证结果表明,在异构无人集群平台重分配的任务背景下,本平台能综合考虑战场态势,寻找最优的任务分配方式,协调各作战单位完成任务目标.展开更多
针对传统战场态势认知过程中缺乏对作战区域的有效分析与识别的问题,提出了一种面向作战区域提取的空战场目标轨迹分析方法。首先,基于改进Douglas-Peucker算法对目标原始轨迹进行特征点提取,得到目标特征轨迹,从而降低目标轨迹冗余信息...针对传统战场态势认知过程中缺乏对作战区域的有效分析与识别的问题,提出了一种面向作战区域提取的空战场目标轨迹分析方法。首先,基于改进Douglas-Peucker算法对目标原始轨迹进行特征点提取,得到目标特征轨迹,从而降低目标轨迹冗余信息;其次,利用密度峰值快速搜索聚类算法(Clustering by Fast Search and Find of Density Peaks,CFSFDP)对目标特征轨迹进行聚类分析,得到多个特征点簇,最后,基于Graham凸包算法对每个特征点簇进行扫描,进而得到闭合的多边形来表征作战区域。通过若干案例仿真验证了该算法模型的可行性和有效性。展开更多
The traditional chimney software architecture design,which is based on the application object,scale and equipment,is difficult to meet the urgent need of multi-resolution,multi-viewpoint,two-dimensional and three-dime...The traditional chimney software architecture design,which is based on the application object,scale and equipment,is difficult to meet the urgent need of multi-resolution,multi-viewpoint,two-dimensional and three-dimensional consistent battlefield situation comprehensive display.Referring to the idea of U.S.Army's general operational diagram,the architecture of the current battlefield situation integrated display system is upgraded and improved.Aiming at the problems of information splitting and real-time undifferentiated access of multi-domain heterogeneous data,technical means such as spatial analysis and multi-source data integration are put forward,and the problems of fast loading and visualization of 3D models of the large battlefield space are solved by designing force clustering and motion trajectory smoothing algorithms.This method improves the service ability and the level of the battlefield situation comprehensive display system,and has a broad arrange of application.展开更多
文摘无人异构集群相较于单一类型、单一个体的无人平台,能够完成更为复杂的任务,同时对严苛战场环境有着更高的适应度.在无人异构集群协同执行任务时,任务分配是至关重要的环节,需要考虑异构无人平台和任务的多种约束和目标.传统的任务分配方法分配效率低且难以处理大规模复杂任务.联盟博弈通过形成由若干参与者组成的联盟,根据个体的属性、偏好对群体进行划分,从而实现个体以及群体利益的最大化.本文以无人异构集群任务分配为背景,研究了基于改进联盟博弈算法的最优分配策略,基于可能的战场环境设计了模拟任务场景并完成实验验证.首先,考虑异构平台在任务中的初始位置、速度、携带资源以及个体声誉等因素,建立了基于空间自适应博弈(Spatial adaptive play algorithm, SAP)的联盟博弈的任务分配算法模型.其次,基于任务场景,搭建了任务所需的软件与硬件平台.最后,针对模拟的战场环境,对所提算法及搭建的异构无人集群平台进行了实验验证.验证结果表明,在异构无人集群平台重分配的任务背景下,本平台能综合考虑战场态势,寻找最优的任务分配方式,协调各作战单位完成任务目标.
文摘针对传统战场态势认知过程中缺乏对作战区域的有效分析与识别的问题,提出了一种面向作战区域提取的空战场目标轨迹分析方法。首先,基于改进Douglas-Peucker算法对目标原始轨迹进行特征点提取,得到目标特征轨迹,从而降低目标轨迹冗余信息;其次,利用密度峰值快速搜索聚类算法(Clustering by Fast Search and Find of Density Peaks,CFSFDP)对目标特征轨迹进行聚类分析,得到多个特征点簇,最后,基于Graham凸包算法对每个特征点簇进行扫描,进而得到闭合的多边形来表征作战区域。通过若干案例仿真验证了该算法模型的可行性和有效性。
文摘The traditional chimney software architecture design,which is based on the application object,scale and equipment,is difficult to meet the urgent need of multi-resolution,multi-viewpoint,two-dimensional and three-dimensional consistent battlefield situation comprehensive display.Referring to the idea of U.S.Army's general operational diagram,the architecture of the current battlefield situation integrated display system is upgraded and improved.Aiming at the problems of information splitting and real-time undifferentiated access of multi-domain heterogeneous data,technical means such as spatial analysis and multi-source data integration are put forward,and the problems of fast loading and visualization of 3D models of the large battlefield space are solved by designing force clustering and motion trajectory smoothing algorithms.This method improves the service ability and the level of the battlefield situation comprehensive display system,and has a broad arrange of application.
