两坐标雷达对空目标高度估计算法研究

Research on Altitude Estimation Algorithm of Air Targetfor Two Dimensional Radar

不同高度的空中目标在匀速飞行时,其径向距离和方位的变化率会有所差异。战场监视雷达通常为两坐标雷达,对空目标探测时无法测量俯仰角,不能实现高度测量,导致目标跟踪精度较差,影响情报质量。文章提出一种基于静态多模型的高度估计方法对近似等高度飞行的空中目标进行高度估计。通过将目标飞行高度范围均匀划分为多个区间,并在每个区间启动独立的滤波器模型,来对目标高度进行概率加权估计。仿真实验表明,文章提出的高度估计方法能够提升目标的定位精度,并对其高度进行较为准确的估计。

The change rate of the slant range and azimuth varies slightly when target is located in different altitude interval. Surveillance radar usually is two dimensional radar, and cannot measure the elevation of air target or the target’s altitude. As a result, the positioning accuracy of target is very low and the quality of intelligence is not satisfied. Based on it, we propose a static multiple model based approach to estimate the altitude of the air target whose altitude almost remains unchanged. By partitioning the range of target’s altitude into several equivalent intervals and starting an individual filtering model for each subinterval, the altitude of target can be estimated using probabilistic weighed fusion. The simulation shows that, the proposed approach can not only improve the positioning accuracy of target significantly but also is able to estimate the altitude of target.