三坐标雷达测高误差数据统计分析与修正

Statistical analysis of height measurement error data of 3D radar and its correction

针对三坐标雷达高度测量误差会影响飞行器状态监测性能的问题,分析了影响三坐标雷达测高误差的因素,在一定约束条件下通过对实测数据进行统计分析,发现雷达测高误差具有偏向性及分段性特点.根据该特点,提出了基于最小二乘多项式拟合的误差修正算法.仿真结果表明,该算法可以有效减小高度误差,特别对近程高度误差的修正效果显著.

Taking it into account that the height measurement error of 3D radar would exert the influences on the monitoring performance of the aircraft＇ s state, this paper analyzes the various factors that affect the height measurement error of 3D radar, and finds out that the error features are of deviation and segmentation by analyzing statistically the measured data under a certain constraint condition. In line with those features, it proposes an error correction algorithm based on least square polynomial fit. Simulation results show that this proposed algorithm can decrease the height error effectively, especially having the remarkable effect on corrections of short range height error.