Abstract
In this paper, a modified Kalman filter with stance detection is proposed. By utilizing this stance information, the proposed Kalman filter can improve the performance of a personal inertial navigation system (INS) using microelectromechanical system (MEMS). Experiment results have confirmed that the proposed system significantly improves the performance of an INS even under harsh magnetic environment.
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Shi, Z., Feng, R., Lin, R., Lewis, G.P. (2021). A Novel Kalman Filter Algorithm Using Stance Detection for an Inertial Navigation System. In: Liang, Q., Wang, W., Liu, X., Na, Z., Li, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2020. Lecture Notes in Electrical Engineering, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-15-8411-4_260
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DOI: https://doi.org/10.1007/978-981-15-8411-4_260
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