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组合导航系统INS/GNSS/SAR的降阶模型

邹维宝 高社生 陈顺祥 任思聪

数据采集与处理2000,Vol.15Issue(4):452-456,5.
数据采集与处理2000,Vol.15Issue(4):452-456,5.

组合导航系统INS/GNSS/SAR的降阶模型

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

邹维宝 1高社生 1陈顺祥 2任思聪1

作者信息

  • 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
  • 折叠

摘要

Abstract

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 n3. 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 resuits 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

Key words

integrated navigation system/Kalman filtering/reduced-model

分类

航空航天

引用本文复制引用

邹维宝,高社生,陈顺祥,任思聪..组合导航系统INS/GNSS/SAR的降阶模型[J].数据采集与处理,2000,15(4):452-456,5.

数据采集与处理

OACSCDCSTPCD

1004-9037

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