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Quantifying Observability and Analysis in Integrated Navigation

delete2018-03-25
delete28
PRE
AI
K
Kai Shen *
Y
Yuanqing Xia
王美令 封面图
王美令 (Meiling Wang)
K
Konstantin A. Neusypin
A
A.V. Proletarsky
DOI:10.1002/navi.225delete
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摘要

摘要

En 中文
This paper concerns the problem of quantifying the observability of different states in linear (or linearized) time-varying systems with focus on the usability to integrated navigation. The main goal is the derivation of a novel scalar method to measure the degree of observability in order to quantitatively analyze the observability of each state variable of a system. The new proposed observability analysis method is easily employed in practice with less computer memory and clearer physical meanings. The application to integrated navigation systems was illustrated to analyze the observability properties of navigation error-states. According to the simulation results, the degree of observability can help us to quantitatively compare the observability of each state variable and further function as an indicator to analyze the influence of physical model parameters on the observability and estimability of navigation errors. Copyright (C) 2018 Institute of Navigation
Keyword:
SYSTEMS
VEHICLE
INS/GPS
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Navigation-Journal of the Institute of Navigation 封面图
Navigation-Journal of the Institute of Navigation
IF:
2
论文数:
554
被引数:
1.6K

机构

B
beijing institute of technology
学者数:
5.5W
论文数: 4.0W
被引数: 63
B
Bauman Moscow State Technical University
学者数:
1.5K
论文数: 761
被引数: 537
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