Application of gain fusion algorithm in multi-sensor integrated navigation system

被引：0

作者：

Hu Ying-jian ^{[1
]}

Qu Hong-zhuan ^{[1
]}

Zhang Hong-yue ^{[1
]}

机构：

[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China

来源：

Proceedings of the 2007 Chinese Control and Decision Conference | 2007年

关键词：

multi-sensor integration navigation system; gain fusion; federated filter;

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：

A gain fusion algorithm is proposed to give computer-efficient suboptimal estimation results. In this algorithm, the optimal covariance and estimate Are obtained by using local Kalman gains and estimates, and the estimates without significant loss of accuracy. Compared to the conventional algorithm, the smaller Communication requirement and the removal of the calculation requirement of inverse covariances make the proposed algorithm more effective. The simulation result obtained from multi-sensor integration navigation system indicates that the estimation is suitable for the system requirement.

引用

页码：638 / 642

页数：5