摘要
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。
Aiming at the lack of effective analysis and identification of operational area in the traditional battlefield situation awareness process,a method of aerial battlefield target trajectory analysis method for operational area extraction is proposed.Firstly,based on the improved Douglas-Peucker algorithm,the featured trajectory is extracted based on the original target trajectory,thus reducing the trajectory redundant information.Secondly,the clustering by fast search and find of density peaks(CFSFDP)algorithm is used to cluster the featured trajectory,which obtains multiple featured points clusters.Finally,each featured points cluster is scanned based on Graham s convex hull algorithm to obtain closed polygons to characterize the combat areas.The feasibility and effectiveness of the algorithm model are verified by several case simulations.
作者
周觐
高岚岚
刘巍
ZHOU Jin;GAO Lanlan;LIU Wei(War Research Institute,Academy of Military Sciences,Beijing 100091,China)
出处
《指挥控制与仿真》
2024年第3期102-108,共7页
Command Control & Simulation
关键词
作战区域
空战场
轨迹分析
态势认知
operational area
aerial battlefield
trajectory analysis
situation awareness
