Integration of GPS and Dead Reckoning Navigation System Using Moving Horizon Estimation

被引：0

作者：

Omar, Halima Mansour ^{[1
]}

Zhang Yanzhong ^{[1
]}

Bo, Zhang ^{[1
]}

Gul, Haris Ubaid ^{[1
]}

机构：

[1] Beihang Univ, Beijing, Peoples R China

来源：

2016 IEEE INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC) | 2016年

关键词：

dead reckoning; global positioning system; moving horizon estimation; Kalman filtering; data fusion;

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：

In this paper, we propose an integration of GPS and dead reckoning navigation system based on moving horizon estimation (MHE) in order to improve its performance. The basic idea of MHE is to minimize an estimation cost function defined on a sliding window composed of a finite number of time stages. From simulation results we have done an objective comparison which leads us to confirm that MHE method is more accuracy than Unscented Kalman Filter (UKF) and Extended Kalman filter (EKF).

引用

页码：553 / 556

页数：4

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