基于ECEF的双阶扩展卡尔曼滤波误差配准方法  

ECEF-based Two-stage Extended Kalman Filter Error Registration Method

作　　者：黄高东 董云龙 HUANG Gaodong;DONG Yunlong(Naval Aviation University,Yantai 264001)

机构地区：[1]海军航空大学,烟台264001

出　　处：《舰船电子工程》2020年第8期39-43,69,共6页Ship Electronic Engineering

摘　　要：组网雷达中为精准估计和消除系统误差,必须进行误差配准。论文针对联合扩维误差配准算法随维度增加导致计算量增大的不足,在基于ECEF坐标系的基础上,结合双阶卡尔曼滤波与扩展卡尔曼滤波,提出一种双阶扩展卡尔曼滤波的误差配准方法,实现了对系统误差的实时估计,仿真表明了该算法的有效性。Registration is the first problem to be solved in radar networking to accurately estimate and eliminate system errors.In this paper,based on the ECEF coordinate system,combined with two-stage Kalman filter and extended Kalman filter,a two-stage extended Kalman filter error registration is proposed.The method realizes the real-time estimation of system error,and the simulation shows the effectiveness of the algorithm.

关 键 词：雷达组网 地心地固坐标系 双阶扩展卡尔曼滤波 误差配准 

分 类 号：TN957[电子电信—信号与信息处理]