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.
作者
黄高东
董云龙
HUANG Gaodong;DONG Yunlong(Naval Aviation University,Yantai 264001)
出处
《舰船电子工程》
2020年第8期39-43,69,共6页
Ship Electronic Engineering
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
radar networking
earth centered earth fixed system
two-stage extended kalman filter
registration
