基于角测量的机动目标跟踪算法

利用角测量估计目标的距离和速度实质上是一个非线性状态估计问题，这种单站被动式跟踪可能构成一个不可观测系统，将导致跟踪滤波器的不稳定和发散。本文针对反直升机雷构成的雷群进行目标定位和跟踪，利用最小角度差算法对目标的位置进行静态估计，用基于“当前”统计模型的自适应滤波算法进行数据处理，最小角度差算法的估计结果作为自适应滤波的观测值；算法简单而且有效，对目标的机动和非机动运动参数都能得到良好的估计结果。

An Algorithm of Tracking a Maneuvering Target with Bearing-only Measurements

The bearing-only location is a nonlinear state estimation in essence; the single observer passive tracking may form a unobservable system, makes the tracking filter instable and divergent. The target location and tracking were analyzed by the mine fields composed of some anti-helicopter mines. The algorithm is a combination of least angle difference algorithm and adaptive filtering algorithm based on current statistical model, least angle difference estimation is used as the measurement of adaptive filter. The results show that the algorithm is simple and efficient for accurately estimating target parameters of maneuvering and non-maneuvering movements.