Information fusion technology of INS/GPS navigation system based on wavelet fault detection

Meng Long Cao; Ping Yuan Cui

doi:10.3873/j.issn.1000-1328.2009.05.023

Information fusion technology of INS/GPS navigation system based on wavelet fault detection

Meng Long Cao^*, Ping Yuan Cui

^*此作品的通讯作者

科研成果: 期刊稿件 › 文章 › 同行评审

4 引用（Scopus）

摘要

Aiming at the difficulty of fault detection in integrated navigation system using multi-sensors, wavelet technology is used to analyze sensor's signal state. It can find fault point in a short time, which makes the system work in real time. Federal information fusion mechanism and fuzzy method are used to switch between normal system and fault system without harass, realizing adaptive system reconstruction, thus the navigation localization precision, faulty tolerance and reliability capability is guaranteed. Road test and computer simulation are combined to validate the proposed scheme. The feasibility is tested.

源语言	英语
页（从-至）	1885-1890
页数	6
期刊	Yuhang Xuebao/Journal of Astronautics
卷	30
期	5
DOI	https://doi.org/10.3873/j.issn.1000-1328.2009.05.023
出版状态	已出版 - 9月 2009
已对外发布	是

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title = "Information fusion technology of INS/GPS navigation system based on wavelet fault detection",

abstract = "Aiming at the difficulty of fault detection in integrated navigation system using multi-sensors, wavelet technology is used to analyze sensor's signal state. It can find fault point in a short time, which makes the system work in real time. Federal information fusion mechanism and fuzzy method are used to switch between normal system and fault system without harass, realizing adaptive system reconstruction, thus the navigation localization precision, faulty tolerance and reliability capability is guaranteed. Road test and computer simulation are combined to validate the proposed scheme. The feasibility is tested.",

keywords = "Autonomous navigation, Information fusion, System reconstruction, Wavelet analyse",

author = "Cao, {Meng Long} and Cui, {Ping Yuan}",

year = "2009",

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doi = "10.3873/j.issn.1000-1328.2009.05.023",

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AU - Cao, Meng Long

AU - Cui, Ping Yuan

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N2 - Aiming at the difficulty of fault detection in integrated navigation system using multi-sensors, wavelet technology is used to analyze sensor's signal state. It can find fault point in a short time, which makes the system work in real time. Federal information fusion mechanism and fuzzy method are used to switch between normal system and fault system without harass, realizing adaptive system reconstruction, thus the navigation localization precision, faulty tolerance and reliability capability is guaranteed. Road test and computer simulation are combined to validate the proposed scheme. The feasibility is tested.

AB - Aiming at the difficulty of fault detection in integrated navigation system using multi-sensors, wavelet technology is used to analyze sensor's signal state. It can find fault point in a short time, which makes the system work in real time. Federal information fusion mechanism and fuzzy method are used to switch between normal system and fault system without harass, realizing adaptive system reconstruction, thus the navigation localization precision, faulty tolerance and reliability capability is guaranteed. Road test and computer simulation are combined to validate the proposed scheme. The feasibility is tested.

KW - Autonomous navigation

KW - Information fusion

KW - System reconstruction

KW - Wavelet analyse

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JO - Yuhang Xuebao/Journal of Astronautics

JF - Yuhang Xuebao/Journal of Astronautics

IS - 5

ER -

Information fusion technology of INS/GPS navigation system based on wavelet fault detection

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