仅有角测量的被动式机动目标跟踪

Bearings-only passive tracking for maneuvering target

以往的被动式跟踪研究往往假定目标作匀速直线运动 ,采用目标与跟踪站的相对距离和速度为状态变量 ,因而相应的跟踪滤波器不能跟踪机动目标 .研究了仅有角测量的机动目标跟踪问题 ,采用目标的位置、速度及加速度作为状态变量 ,并对测量方程进行适当变换 ,推导出一种伪线性机动目标自适应跟踪算法 ,可用于单站或多站被动式机动目标跟踪 .大量的仿真研究表明了本算法的有效性 ,其中多站跟踪比单站跟踪具有更高的精度、算法稳定性和快速收敛性 .

Classical bearing-only passive target tracking method usually assumes that targets move with constant velocity in straight trajectory and relative range and velocity between target and observer are adopted as state variables. Therefore, the corresponding tracking filter can not track maneuvering target.A pseudo-linear adaptive tracking algorithm for maneuvering target is developed through manipulation of measurement equation. The algorithm is used in single-sensor and multi-sensor tracking context. Simulation results show the validity of the presented algorithm. Compared with single-sensor tracking, multi-sensor tracking is of higher accuracy, stability and convergence rate.