组合导航系统INS/GNSS/SAR的降阶模型  

Reduced-Order Model for INS/GNSS/SAR Integrated Navigation System

作　　者：邹维宝[1] 陈顺祥[2] 高社生[1] 任思聪[1] 

机构地区：[1]西北工业大学自动控制系,西安710072 [2]第二炮兵工程学院一系,西安710025

出　　处：《数据采集与处理》2000年第4期452-456,共5页Journal of Data Acquisition and Processing

摘　　要：在利用卡尔曼滤波器对数据进行滤波时 ,其计算时间是由模型的状态矢量维数 n决定的。每一步迭代的计算量等于 n3。状态维数的减少会使计算时间大大地缩短。本文首先介绍了高阶组合导航系统 INS/ GNSS/ SAR,然后介绍了其降阶模型。仿真结果证明 ,INS/ GNSS/ SAR系统是一个高性能的组合导航系统 ,其降阶模型可为飞机提供满意的导航精度。The main factor in determining the computation time of Kalman filter is the dimension n of the model state vector. The number of computations per iteration is on the order of n 3 . Any reduction in the number of states will significantly decrease the computation time. This paper introduces a full order INS/GNSS/SAR integrated navigation system, and its reduced order model. The simulational results prove that this integrated navigation system is of high performance and its reduced order model can also provide satisfactory accuracy for aircraft navigation.

关 键 词：组合导航系统 卡尔曼滤波 降阶模型 飞机 

分 类 号：V249.328[航空宇航科学与技术—飞行器设计]