基于信息增量的弹道目标协同跟踪方法

针对反导传感器网络中弹道目标的协同跟踪问题，提出了一种基于信息增量的弹道目标协同跟踪方法。分析了多传感器对弹道目标的协同跟踪问题，并建立了自由段弹道目标分段匀加速模型。在此基础上，对自由段弹道目标跟踪过程中，利用跟踪滤波的协方差阵信息获得每个传感器对目标的信息增量，并以信息增量最大为准则选择传感器对弹道目标进行跟踪，从而实现对弹道目标的有效跟踪。仿真结果表明：所提的方法能够及时动态地选择性能最佳的传感器对弹道目标进行跟踪，提高弹道目标整体的跟踪性能，实现对弹道目标的协同跟踪。

Ballistic target collaboration tracking algorithm based on information gain

Aiming at ballistic missile target tracking problem in anti-missile sensor networks,a ballistic missile target collaboration tracking method based on information gain is proposed. Problem of multi-sensor collaboration tracking on ballistic target is analyzed,and piecewise-constant acceleration model for ballistic coast flight is established;tracking covariance information is applied to obtain information gain of each sensor on target when tracking the coast flight ballistic target,and select the sensor to track ballistic target based on maximum information gain. Simulation results show that the proposed method can select the optimal sensor timely and dynamically to track ballistic target,which improves integral overall tracking property of ballistic target and realizes collaboration tracking on ballistic target.