KALMAN滤波技术在北斗无源动态定位中的应用研究  

Research on Application of Kalman Filtering Technology to Beidou Passive Dynamical Position

作　　者：王妙[1] 左继章 

机构地区：[1]空军工程大学工程学院,西安710038 [2]空军第一试验训练基地,甘肃酒泉735018

出　　处：《弹箭与制导学报》2008年第2期47-48,52,共3页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：由于北斗定位卫星数量的限制,接收机在动态定位精度上会出现较大的误差。针对这一问题,提出采用描述载体运动的"CA"统计模型,建立了一种新的北斗无源动态定位Kalman滤波模型。针对可能导致滤波发散的"野值",采用了残差x2检验法来剔除。通过跑车实验,验证了文中模型能很好地改善定位的精度及动态性能。Since the quantity of Beidou satellite is limited, the error of passive dynamical position by receiver is great. Based on ＂CA＂ statistical model, a new Kalman Filtering model for the passive dynamical position was built and the residual test method was adopted to remove the outlier. The real-time experimental results show that this filtering model can improve the precision and dynamical performance.

关 键 词：KALMAN滤波 无源动态定位 残差x^2检验 野值剔除 

分 类 号：V474[航空宇航科学与技术—飞行器设计]