基于SRUKF的3D雷达与2D雷达的误差配准方法OA北大核心CSCDCSTPCD
Research on Registration Methods Based on SRUKF between 3D Radar and 2D Radar
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 reg…查看全部>>
刘德浩;王国宏;陈垒;关成斌
海军航空工程学院信息融合研究所,山东烟台 264001海军航空工程学院信息融合研究所,山东烟台 264001海军航空工程学院信息融合研究所,山东烟台 264001海军航空工程学院信息融合研究所,山东烟台 264001
信息技术与安全科学
误差配准ECEF坐标系SRUKF雷达组网
error registrationECEF coordinatesSRUKFradar network
《火力与指挥控制》 2012 (11)
压制干扰下目标跟踪技术研究
12-16,5
国家自然科学基金(61032001,60972159,61002006)航空科学基金(20085184003)"泰山学者"建设工程专项经费基金资助项目
评论