The D-S theory algorithm with application in the strap-down inertial navigation system

Henghao Zhang; Zaozhen Liu; Xiuyun Meng; Yongwei Li

doi:10.1504/IJMIC.2012.047736

The D-S theory algorithm with application in the strap-down inertial navigation system

Henghao Zhang, Zaozhen Liu, Xiuyun Meng, Yongwei Li^*

^*Corresponding author for this work

School of Aerospace Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

The strap-down inertial navigation system (SINS) can produce the cumulative error when it works. To address this problem, the D-S theory is introduced in the system. The confidence space can be setup via the D-S theory and multi-algorithms can be used in the SINS system to obtain multi-groups information data. The fuse algorithm can compute and get the optimal information using the D-S theory confidence space and the limit of definite integral. The optimal information can be used in the next step, thus to reduce the error. The result demonstrates that the D-S theory algorithm can reduce the cumulative error of SINS and improve the system's precision.

Original language	English
Pages (from-to)	259-264
Number of pages	6
Journal	International Journal of Modelling, Identification and Control
Volume	16
Issue number	3
DOIs	https://doi.org/10.1504/IJMIC.2012.047736
Publication status	Published - Jul 2012

Keywords

Confidence space
Definite integral
The D-S theory
The limit

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10.1504/IJMIC.2012.047736

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abstract = "The strap-down inertial navigation system (SINS) can produce the cumulative error when it works. To address this problem, the D-S theory is introduced in the system. The confidence space can be setup via the D-S theory and multi-algorithms can be used in the SINS system to obtain multi-groups information data. The fuse algorithm can compute and get the optimal information using the D-S theory confidence space and the limit of definite integral. The optimal information can be used in the next step, thus to reduce the error. The result demonstrates that the D-S theory algorithm can reduce the cumulative error of SINS and improve the system's precision.",

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AU - Li, Yongwei

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AB - The strap-down inertial navigation system (SINS) can produce the cumulative error when it works. To address this problem, the D-S theory is introduced in the system. The confidence space can be setup via the D-S theory and multi-algorithms can be used in the SINS system to obtain multi-groups information data. The fuse algorithm can compute and get the optimal information using the D-S theory confidence space and the limit of definite integral. The optimal information can be used in the next step, thus to reduce the error. The result demonstrates that the D-S theory algorithm can reduce the cumulative error of SINS and improve the system's precision.

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The D-S theory algorithm with application in the strap-down inertial navigation system

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Keywords

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