摘要
针对复杂操作环境所引起的INS/GPS组合导航系统模型参数变化导致单一固定参数滤波器精度降低问题,提出了多模型自适应Kalman滤波算法,并与单一模型下的Kalman滤波器方法进行了比较。仿真结果表明,相对于单一模型的Kalman滤波算法,该算法能大大提高导航系统的精度和可靠性。
Aiming at the impreciseness of the model parameter at the situation of maneuverability, a multimodel Kalman filter algorithm is designed for INS/GPS integrated navigation system. The application of integrated navigation systems is studied with simulation. Simulation results show that the proposed algorithm can improve the accuracy and reliability of integrated navigation systems greatly compared with the single-model algorithm.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2008年第7期1304-1307,共4页
Systems Engineering and Electronics
基金
国家"863"高技术计划基金资助课题(2006AA122305)
关键词
算法研究
组合导航
滤波器设计
多模型自适应估计
algorithm study
integrated navigation
Kalman filtering design
multi-model adaptive estimation
