摘要
为了提高无源北斗卫导/惯导组合导航系统在各种情况下的定位精度,提出了一种组合导航算法模型,并引入模糊逻辑算法对这一模型进行改进,通过监控卡尔曼滤波新息实时调整其噪声方差参数,实现了导航算法模型的自适应性,使改进后组合导航算法的定位精度得到提高。最后,通过仿真验证了模糊逻辑自适应算法可以有效地提高组合导航系统的定位精度。
In order to improve the position precission of Beidou satellite and INS integrated navigation system in all kinds of condition,a BD/INS passive integrated navigation algorithm model was presented.And a fuzzy logic algorithm is designed and used to improve our navigation algorithm.The fuzzy logic algorithm regulate the noise variance paramiters of kalman filter by monitor its remain error serial,which makes the navigation althrithm adaptive and improve our algorithm's positioning precision.Finally,we explain...
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2007年第5期1190-1194,共5页
Journal of Astronautics
关键词
卫星导航
组合导航
卡尔曼滤波
模糊
新息序列
Satellite navigation
Integrated navigation
Kalman filter
Fuzzy
Residuals serial of filter
