雷达跟踪低空目标 ,由于多径效应的影响 ,在俯仰角测量上会近似周期地出现方差很大的尖峰误差 ,这时应用卡尔曼滤波算法会导致较大的跟踪误差。文中近似地建立了多径条件下观测噪声的非高斯模型 ,并应用非高斯噪声下的滤波算法跟踪低空目标 ,通过计算机仿真得到了满意的结果

In the context of tracking low elevation targets with radar, the multipath effects cause big errors in the measurement of the elevation angle, and the traditional tracking algorithm based on Kalman filter also leads to great tracking errors. In this paper, with the non-Gaussian modeling of noise measure in the presence of multipath, a non-Gaussian filtering algorithm is developed to track low elevation targets. At last the simulation results of the performance of the filter are given.

TN958.4