摘要
阐述了多个雷达数据空间配准几何坐标转换算法,建立目标运动和测量模型,在此基础上利用最小二乘法对多雷达异步测量数据进行时间配准,最后研究了在时空数据配准处理后基于扩展卡尔曼滤波的状态估计和误差估计,并进行了仿真验证,对网络化作战传感器网络建设有参考意义。
Firstly the arithmetic of multidimensional data alignment in multi-radar-network is expatiated,then the kinematic equation and the survey equation are established,and asynchronous data are equalized by least squares algorithm.Finally an extended Kalman filter approached to misaligned radar-net system is researched,the simulation results show it is effective.
出处
《现代防御技术》
北大核心
2008年第2期20-24,29,共6页
Modern Defence Technology
关键词
网络化作战
数据配准
扩展卡尔曼滤波
network centric war
date alignment
extended Kalman filter
