被动目标定位系统观测平台的最优机动轨迹

对仅有方位量测的被动目标定位中观测平台最优机动轨迹问题进行了探讨.在最大化Fisher信息阵 (FIM)行列式指标下给出了当前时刻一种新的机动控制策略,从理论上证明了最优机动轨线有且仅有2支,并给出了最优机动策略和最优机动轨线方程;它的特点是对任意时刻均为最优,而不仅仅在观测时间的末端,几何直观描述了机动控制序列的可执行性;与最大化方位变化率下观测平台最优机动轨线相比较,本文的机动策略兼顾了距离和方位2个因素的影响,可看成是对距离信息和方位信息之间的折中.数字仿真表明,与传统方法比较,提出的新机动策略能获得更大的信息.

Optimal maneuver trajectories of the observer platform in passive localization system

The optimal trajectory of the observer platform in passive localization system is analyzed. By maximizing the determinant of the Fisher information matrix(FIM), we develop a novel instant maneuver control strategy. We also give the equations for the two optimal trajectories which are theoretically proved to be existing. It is noted that the optimal maneuver thus obtained is optimal at any instant, not only at the end point of the observation. The operation of the maneuver control sequence is depicted visually by geometry. Besides considering the maximum variation rate of the angle, the proposed method takes into account the effects of the range and e bearings, and makes a compromise between them. Numerical simulations show that more information can be observed from the optimal maneuver trajectory than that from other traditional ones.