An Improved Initial Alignment Method using Kalman Filtering of the Vectorized K-matrix

2021 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)(2021)

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Abstract
This paper proposes an in-motion coarse alignment based on the Kalman filter and truncated vectorized K-matrix for strapdown inertial navigation system. Because of the measurement noises, the traditional coarse alignment methods have slow rate of convergence. To solve this problem, a novel coarse alignment algorithm is used to calculate the attitude quaternion. This algorithm overcomes the shortco...
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Key words
Measurement errors,Filtering,Quaternions,Estimation,Filtering algorithms,White noise,Mathematical models
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