单站两坐标雷达空间目标跟踪新算法研究

在以常规卡尔曼滤波器为基础的各种跟踪算法中，要求精确的模型和噪声统计，但在实际问题中，大多数情况上述要求不能满足。本文给出了考虑初始条件不精确性的改进型卡尔曼滤波算法，并在引入速度量测信息的基础上，运用该滤波方法进行空间目标二维定位。蒙特卡洛仿真表明该方法降低了对模型精度的要求，在工程上是可行的。

A new algorithm of target tracking with two-coordinate measurement in bistatic radar′s T/R base

Accurate models and noise statistics are required in many tracking algorithms based on the traditional Kalman filter, which are difficult to be satisfied in engineering application. In this paper, an improved Kalman filter considering the inaccuracy in the filter's initial condition is presented, and by introducing velocity measurements, the method of the location with two coordinates to space target is given. The computer simulation shows that the algorithm is feasible in engineering and can help to lower the requirement to model's accuracy.