Kalman Filtering Applied to Low-Cost Navigation Systems: A Preliminary Approach

被引:0
作者
Duque, Jose Vieira [1 ]
da Conceicao, Victor Placido [1 ]
Filomena Teodoro, M. [1 ,2 ]
机构
[1] Base Naval Lisboa, Portuguese Navy, Portuguese Naval Acad, CINAV, P-2810001 Alfeite, Almada, Portugal
[2] Lisbon Univ, Inst Super Tecn, CEMAT Ctr Computat & Stochast Math, Ave Rovisco Pais 1, P-1048001 Lisbon, Portugal
来源
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS (ICCSA 2018), PT II | 2018年 / 10961卷
关键词
Systems of navigation and positioning; Kalman filters; Low-cost; Small vessels;
D O I
10.1007/978-3-319-95165-2_36
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The development of the technology in the last decades, and in particular of the navigation and positioning systems, with the appearance of the Micro-Electro-Mechanical Systems (MEMS) allowed solutions of positioning and navigation low-cost. The objective of this work is the construction of a low-cost positioning solution for small sailboats. Kalman filtering is used to process data from an MEMS inertial sensor and a GPS receiver on small sailing vessels. The validation of the work is done by comparing the results obtained by the low-cost system with those obtained by higher precision systems.
引用
收藏
页码:509 / 524
页数:16
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