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High-accuracy self-calibration method for dual-axis rotation-modulating RLG-INS
Author(s): Guo Wei; Chunfeng Gao; Qi Wang; Qun Wang; Xingwu Long
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Paper Abstract

Inertial navigation system has been the core component of both military and civil navigation systems. Dual-axis rotation modulation can completely eliminate the inertial elements constant errors of the three axes to improve the system accuracy. But the error caused by the misalignment angles and the scale factor error cannot be eliminated through dual-axis rotation modulation. And discrete calibration method cannot fulfill requirements of high-accurate calibration of the mechanically dithered ring laser gyroscope navigation system with shock absorbers. This paper has analyzed the effect of calibration error during one modulated period and presented a new systematic self-calibration method for dual-axis rotation-modulating RLG-INS. Procedure for self-calibration of dual-axis rotation-modulating RLG-INS has been designed. The results of self-calibration simulation experiment proved that: this scheme can estimate all the errors in the calibration error model, the calibration precision of the inertial sensors scale factor error is less than 1ppm and the misalignment is less than 5″. These results have validated the systematic self-calibration method and proved its importance for accuracy improvement of dual -axis rotation inertial navigation system with mechanically dithered ring laser gyroscope.

Paper Details

Date Published: 5 May 2017
PDF: 7 pages
Proc. SPIE 10184, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement Applications XVI, 1018414 (5 May 2017); doi: 10.1117/12.2266140
Show Author Affiliations
Guo Wei, National Univ. of Defense Technology (China)
Chunfeng Gao, National Univ. of Defense Technology (China)
Qi Wang, National Univ. of Defense Technology (China)
Qun Wang, National Univ. of Defense Technology (China)
Xingwu Long, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 10184:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement Applications XVI
Edward M. Carapezza, Editor(s)

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