摘要
针对集火攻击以及诱饵、干扰突防背景下的弹道群目标航迹关联中特征量难以提取的问题,利用经验模态分解(EMD)方法,从量测数据中提取出表示航迹特征信息的IMF矩阵,对该矩阵进行奇异值分解获得量测数据的特征向量,采用灰度关联法计算特征向量之间的关联度矩阵,按照一定规则判断航迹是否关联。仿真结果表明,与传统统计和灰色关联算法相比,该算法正确关联率得到了有效提高。
As the characteristic quantity in group ballistic target track association is difficult to be extracted under the background of concentrated attack,decoy,interference penetration.EMD method is used to extract the TMF matrix from the measurement data to represent the characteristic information of track,and the characteristic vector of the measured data is obtained by decomposing singular value of the IMF matrix.The correlation matrix between the feature vectors can be calculated by the gray correlation method for further judging whether the tracks are associated or not according to certain rules.The simulation results show that the proposed method can achieve higher correct association rate compared with the traditional statistics method and gray association method.
作者
张怀念
周焰
梁复台
张晨
ZHANG Huainian;ZHOU Yan;LIANG Futai;ZHANG Chen(Air Force Early-Warning Academy,Wuhan 430000,China;Rocket Force Command College,Wuhan 430000,China;College of Information and Communication,National University of Defense Technology,Wuhan 430000,China)
出处
《火力与指挥控制》
CSCD
北大核心
2022年第7期138-141,149,共5页
Fire Control & Command Control
关键词
弹道导弹
航迹关联
经验模态分解
灰度
特征值
ballistic missile
track correlation
empirical mode decomposition
gray correlation
characteristic value
