基于战场态势环境的多目标点迹全局最优关联方法  

The Global Optimal Association Method of Multi-target Point Trace Based on Battlefield Situation Environment

作　　者：林弘 王楠[1] Lin Hong;Wang Nan(National University of Defense Technology,Changsha 410073,China)

机构地区：[1]国防科技大学,长沙410073

出　　处：《战术导弹技术》2021年第5期113-121,131,共10页Tactical Missile Technology

摘　　要：轨迹关联是研究多目标跟踪问题的关键技术之一,是提升现代战场态势感知能力的重要手段。传统方法在目标密集区域容易形成误关联,对指挥员的判断和整体战场的态势感知产生影响。针对该问题,以离散状态下的目标运动点迹信息作为研究对象,设计多重门限判决,选择目标间球面距离作为代价函数,提出基于战场态势环境的多目标点迹全局最优关联方法,并模拟密集多目标场景进行仿真实验。实验结果表明,该方法能有效减少目标密集区域轨迹的误关联程度。Track association is one of the key techniques to study the multi-target tracking problem and an important means to improve the situation awareness of modern battlefield.The traditional method is easy to form false association in the target dense area,which affects the commander’s judgment and the overall situation awareness of the battlefield.The target motion point trace information in the discrete state is taken as the research object,multiple threshold decision is designed,and the spherical distance between targets is selected as the cost function.A global optimal association method of multi-target point trace based on the battlefield situation environment is proposed,and the simulation experiments are carried out by simulating the dense multi-target scene.The experiment results show that this method can effectively reduce the degree of false association in the target dense area.

关 键 词：轨迹关联 多目标跟踪 多重门限判决 全局最优 误关联 

分 类 号：E91[军事]