摘要
多星组网探测具有目标跟踪距离远、跟踪精度高等优点,但是在接续探测过程中,可能会造成目标的观测缺失,发生航迹断裂的现象,接替卫星存在初始跟踪精度较低的问题。为解决接续探测阶段面临的目标跟踪问题,提出了基于航迹关联的多卫星接续阶段精确跟踪方法,针对航迹断裂导致的目标丢失的问题,给出了一种基于状态密度估计的航迹关联算法,利用卡尔曼滤波对星载雷达的观测数据预处理,通过假设检验和二维分配对断裂航迹进行关联与配对。针对接替卫星在初始阶段的目标跟踪精度较低的问题,在航迹关联的基础上,利用凸组合算法,将终止航迹推算出的预测信息与起始航迹的观测相结合,实现对目标的精确跟踪。
The utilization of multi-satellite networking detection techniques offers the benefits of extended target tracking distances and enhanced tracking accuracy.Nevertheless,during the handover detection process,it may result in the occurrence of observation gaps and track breaks,which could ultimately lead to the loss of targets and a reduction in the initial tracking accuracy of successor satellites.In order to address the issue of target tracking during the handover detection phase,a method of precise tracking based on track correlation for the multi-satellite handover phase is proposed.To address the issue of target loss resulting from track breaks,a track correlation algorithm based on state density estimation is proposed.The preprocessing of observation data from the onboard radar is conducted using Kalman filtering.Track correlation and pairing are performed on broken tracks through hypothesis testing and two-dimensional allocation.In response to the issue of low target tracking accuracy in the initial phase of successor satellites,a convex combination algorithm is utilized to combine prediction information derived from terminated tracks with observations from initial tracks.This achieves precise tracking of targets based on track correlation.
作者
宋国锋
孙晓静
郝启凯
邢雪辉
SONG Guofeng;SUN Xiaojing;HAO Qikai;XING Xuehui(Northwest Institute of Mechanical&Electrical Engineering,Xianyang,712099,Shaanxi,China)
出处
《火炮发射与控制学报》
北大核心
2025年第3期107-114,共8页
Journal of Gun Launch & Control
关键词
星载雷达
接续探测
卡尔曼滤波
航迹关联
状态密度估计
凸组合算法
spaceborne radar
continuation detection
Kalman filter
track segment association
state density estimation
convex combination algorithm
