Abstract
In this paper, tightly coupled system is designed using multi-GPS receivers based on the Extended Kalman Filter(EKF). Typically, GPS has the instantaneous error and INS has the disadvantage that the cumulative error occurs over time. To fill the gap, receiving is stabilized and accuracy is higher position information get using multi-GPS receivers. INS’s data is precisely updated through the multi-GPS’s position data in the data fusion process of the EKF. Through experiment, it can verify the results compared single GPS and multi-GPS position error, and then calibrated mobile robot position estimation results can be found.
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Choi, S., Kim, K., Kim, Y., Lee, J. (2013). Outdoor Precision Position Estimation System Using Multi-GPS Receivers. In: Lee, J., Lee, M.C., Liu, H., Ryu, JH. (eds) Intelligent Robotics and Applications. ICIRA 2013. Lecture Notes in Computer Science(), vol 8102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40852-6_9
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DOI: https://doi.org/10.1007/978-3-642-40852-6_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40851-9
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