The Study of Kalman Filtering Algorithm in the Initial Alignment of Strapdown Inertial Navigation System

Shi Qi An; Jun Kai Zhang

doi:10.4028/www.scientific.net/AMM.740.596

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 740The Study of Kalman Filtering Algorithm in the...

The Study of Kalman Filtering Algorithm in the Initial Alignment of Strapdown Inertial Navigation System

Abstract:

According to the principle and the method of initial alignment of strapdown inertial navigation system, proposed based on Sage-Husa adaptive kalman filter algorithm. The measured simulation data, compared with those of kalman filtering algorithm, show that the optimized algorithm can optimize the noise estimation, revise accumulated error of strapdown inertial navigation system, and greatly improve the navigation accuracy.

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Periodical:

Applied Mechanics and Materials (Volume 740)

Pages:

596-599

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.740.596

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Online since:

March 2015

Authors:

Shi Qi An*, Jun Kai Zhang

Keywords:

Initial Alignment, Kalman Filtering Algorithm, Optimal Estimate, Self-Adaption, Strapdown Inertial Navigation System

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* - Corresponding Author

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