纯方位目标跟踪系统观测平台的贪婪法机动策略

Observer Platform Maneuver Strategy Based on Greedy Algorithm for Bearings-only Tracking

在最大化Fisher信息阵(FIM)行列式当前增量指标下,利用贪婪法给出纯方位远距离目标跟踪观测平台当前时刻一种新的机动控制策略,其特点是能自适应控制观测平台航向使得任意当前时刻均为最优,几何直观显示适合工程应用的可操作性;传统方位差最大指标下的垂直瞄准线航向法只侧重方位信息,贪婪法机动策略是在距离和方位因素间的折中,因而能获得更大的信息.

Under the maximized determinant of the Fisher information matrix （FIM）,a novel observer platform maneuver control strategy at current time for bearingsonly long distance target tracking is given based on greedy algorithm.It is the optimal maneuver in any time by adaptive control of observer platform courses.The feasibility of the sequence of maneuver control is described visually by geometry fit to practical maneuverability.Compared with the traditional optimal traj ectory which is based on the change rate of angles and lays particular emphasis on the bearings information,the proposed method can receive more information because it takes into account the influence of range and bearings.