摘要
研究了双传感器信息融合中的传感器数据预处理阶段中的时空匹配问题,给出了由卡尔曼最优预测和三次样条插值相结合的算法,即先对大周期观测数据进行卡尔曼最优预测,然后用样条插值的办法导出小周期时刻的数据。最后用计算机仿真进行本系统的测试,证明此算法的合理性。
This paper studies the problem of temporal and spatial matching during the preprocessing time of sensors' data in the field of two sensors' information fusion,and gives out an arithmetic that combining Kallman optimal estimation and cubic spline interpolation.In that phase,the arithmetic estimates the data of the major cycle sensor with the method of Kallman optimal estimation firstly,then exports it's data at the minor time using spline interpolation,at last computer simulation will be used to attest that arithmetic's rationality.
出处
《弹箭与制导学报》
CSCD
北大核心
2004年第S5期228-230,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
传感器
卡尔曼最优预测
样条插值
sensor
kallman optimal estimation
cubic spline interpolation
