Tightly-coupled MEMS-INS/GPS Integration Using Sequential Processing Method

被引：0

作者：

Zhou, Junchuan ^{[1
]}

Knedlik, Stefan ^{[1
]}

Loffeld, Otmar ^{[1
]}

机构：

[1] Univ Siegen, Ctr Sensorsyst ZESS, D-57068 Siegen, Germany

来源：

PROCEEDINGS OF THE 22ND INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS 2009) | 2009年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The delta pseudorange measurement is often used in INS/GPS tightly-coupled integration for velocity determination. However, it is a type of integrated measurements with errors strongly related to the pseudorange errors at the beginning and end of the integration interval. In order to correctly account for these errors, in this paper, we carry the delayed state terms to remember the estimation errors of the pseudorange at the beginning of the integration interval. Besides, sequential processing is used in the measurement update of the Kalman filter (KF) algorithm to prevent the matrix inverse calculation. Simulations are conducted on the basis of a field collected 3D UAV trajectory. Numerical results show that the correct handling of the errors involved in the delta pseudorange measurements is critical, especially when the vehicle is maneuvering under high dynamics.

引用

页码：3075 / 3086

页数：12

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