Research on UKF of INS/GPS integrated navigation systems

被引：0

作者：

Xu Jia-he ^{[1
]}

Jing Yuan-wei ^{[1
]}

机构：

[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China

来源：

PROCEEDINGS OF THE 2007 CHINESE CONTROL AND DECISION CONFERENCE | 2007年

关键词：

unscented Kalman filter; integrated navigation; adaptive; trace tracking;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Unscented Kalman Filter (UKF) is introduced to solve the filtering problems in the INS/GPS integrated navigation system. And the adaptive UKF is proposed, which has strong tracking capability and high convergence speed, and its precision is similar to that of conventional UKF. Some numerical simulations of the two aforementioned filter algorithms are given by using Matlab to show the effectiveness of the proposed algorithm in convergence rate and estimation precision.

引用

页码：213 / +

页数：5

共 10 条

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