摘要
以组合导航为应用背景,对联合Kalman滤波进行了改进,每循环N次,就用主滤波器的估计值来修正子滤波器的值,以改善滤波器的性能,提高组合导航系统精度,并且大大减小收敛时间,提高其效率。最后将该方法应用于GPS/INS/LORAN-C组合导航系统中,仿真结果表明该方法是有效的。
Base on the integrated navigation system, the paper modifies federal Kalman filter. It uses the main filter to amend the other sub filters each N circulations, so it improves the performance of the regular Kalman filter and enhances the positioning accuracy of the integrated navigation system. It also reduces the constringency time and advances the efficiency. And it is proved to be useful in simulation of GPS/INS/LORAN-C integrated navigation system with the result.
出处
《火力与指挥控制》
CSCD
北大核心
2009年第7期142-144,共3页
Fire Control & Command Control
基金
湖南省系统工程基金资助项目
关键词
组合导航
联合Kalman滤波
信息融合
integrated navigation,federal kalman filtering,information fusion
