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2015•Applied Mechanics and MaterialsOpen access

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

Shi Qi An, Jun Kai Zhang

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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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What this paper is about

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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Available 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.

Key concepts: Kalman filter, Inertial navigation system, Fast Kalman filter, Navigation system, Noise (video), Inertial frame of reference, Algorithm, Control theory (sociology)

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