多传感器多目标被动跟踪的“鬼点”形成条件  

Conditions for Forming Ghost Nodes in Multi-sensor Multi-target Passive Tracking

作　　者：李松洲 周荻[1] 杜润乐 刘佳琪 方艺忠 LI Songzhou;ZHOU Di;DU Runle;LIU Jiaqi;FANG Yizhong(School of Astronautics,Harbin Institute of Technology,Harbin 150001,China;National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics,Beijing 100076,China)

机构地区：[1]哈尔滨工业大学航天学院,哈尔滨150001 [2]试验物理与计算数学国家级重点实验室,北京100076

出　　处：《兵工学报》2022年第12期3103-3112,共10页Acta Armamentarii

基　　金：国家自然科学基金项目(61773142)。

摘　　要：为探究多传感器多目标被动跟踪场景下“鬼点”的形成机理,采用一种集合分析方法,将各角度测量定义为不同的点集,将目标点定义为点集的交,建立多传感多目标被动跟踪问题的数学建模,基于该模型分析得到三类典型跟踪场景下定位到“鬼点”所需几何条件。理论分析表明,传感器观测基线长度、分布特征以及传感器个数是影响“鬼点”生成概率的重要因素。设置3组仿真实验,进一步验证了上述因素对“鬼点”跟踪概率的实际影响。研究结果表明,在求解被动跟踪问题时,适当减小传感器观测基线长度、提高传感器网络相对目标团的空间布局复杂度以及增加传感器数目均能起到一定的抑制“鬼点”作用。To explore the formation mechanism of ghost nodes in multi-sensor multi-target passive tracking,a method based on set theory is applied to establish a mathematical model for multi-sensor multi-target passive tracking.The method defines bearing measurements as different point sets and targets as the intersections of them.Using the model,the formation conditions of ghost nodes are obtained for three typical scenarios.It is found that the length of sensors observation baseline,distribution characteristics,and number of sensors are important factors affecting the generation probability of ghost nodes.Three groups of illustrative simulations are conducted to further verify the above factors practical effects on the likelihood of ghost nodes being traced.The results indicate reducing the length of sensors observation baseline appropriately,increasing the spatial layout complexity of the sensor network relative to the target group,and using more sensors for observation have a certain positive effect on suppressing the generation of ghost nodes when solving the multi-sensor multi-target passive tracking problem.

关 键 词：多传感器 多目标 被动跟踪 数据关联 鬼点 几何条件 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]