一种基于“当前”统计模型的机动辐射源单站无源定位方法

A New Method Based on Current Statistical Model for a maneuvering target in the Single Observer Passive Location and Tracking

针对采用非线性较强的脉冲到达时间差、观测角等参数的固定单站对机动运动辐射源无源定位跟踪系统,提出了一种用"当前"统计模型对角速度建模,利用UKF滤波进行滤波,跟踪机动辐射源的定位方法。同时对非线性定位系统的可观测性进行了分析,得到了与辐射源作匀速运动相同的可观测条件。仿真结果表明,本文提出算法对固定单站在角速度变化的机动运动无源定位中跟踪效果更佳。

In this paper,we present a new method that models the angular-velocity on the current statistical model and uses the UKF filter for a maneuvering target in the Single Observer Passive Location and Tracking （SOPLAT） system based on the observation of bearing and difference time of arrival of the emitter. And we analyze the observability conditions for the nonlinear system and obtain the same conclusions as the emitter in the constant speed condition. The simulations prove the better performance of the new method in the SOPLAT for a changing angular-velocity maneuvering target.