基于SRUKF的3D雷达与2D雷达的误差配准方法

摘要

系统误差配准技术是雷达组网数据处理系统中必不可少的基础和关键技术,其目的是准确估计及消除组网雷达的系统误差.采用ECEF坐标系作为公共参考坐标系,推导了使用3D雷达配准2D雷达的3种方法,并采用均方根不敏卡尔曼滤波(SRUKF)对组网雷达系统误差进行实时估计.仿真结果表明,该算法可以有效地实现3D雷达与2D雷达之间距离和方位角的系统误差配准.%Registration is a necessary and prerequisite process for the data fusion in radar networking system to estimate and correct systematic errors accurately. Earth-centered-Earth-fixed (ECEF ) coordinates are taken as the common reference coordinates, three registration methods between 3D radar and 2D radar are deduced. SRUKF (Square Root Unscented Kalman Filter) is used to estimate the systematic errors. The result indicates that the algorithm could fulfill registration of slant and azimuth between 3D and 2D radars effectively.