Abstract
Pilot studies over strapdown inertial navigation system (SINS) and overclocking algorithms are introduced in this paper. Usually, the software for an inertial measurement unit (IMU) is being introduced without determinative computational algorithms, mainly causing fatal algorithmic output errors. Furthermore, caused by the noise and instrumental particularities of sensors, there are errors and also other impacts on the inexpensive IMU work. Consequently, these errors have direct influence on accuracy of orientation and navigation of SINS. The outcomes were received in the motionless position. In this paper, the efficiency of one-step overclocking simple algorithm has been examined.
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Aksonenko, P.M., Avrutov, V.V., Lazarev, Y.F., Henaff, P., Ciarletta, L. (2019). Expanded Algorithm for Inertial Navigation. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Computing. SAI 2018. Advances in Intelligent Systems and Computing, vol 857. Springer, Cham. https://doi.org/10.1007/978-3-030-01177-2_58
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DOI: https://doi.org/10.1007/978-3-030-01177-2_58
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