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Realization of Real Time Kinematic Positioning Software Based on Kalman Filter

  • Dangwei WangEmail author
  • Yi Lai
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 340)

Abstract

As an important optimization estimation theory, Kalman filter is applied to deal with many kinds of dynamic data, especially for GPS data and inertial navigation data. In this paper, the Kalman filter is used to solve the two key problems-integer ambiguity calculation and cycle slip detection and correction, and then a real time kinematic (RTK) positioning technique based on Kalman filter is proposed. The experimental results show that the presented method can obtain the positioning accuracy of RTK up to centimeter for data format in GPS.

Keywords

RTK Kalman filter 

References

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    Xu SQ et al (2001) GPS global position system and its application [M]. Wuhan University of Science and Technology, WuhanGoogle Scholar
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    Grewal MS, Andrews AP (2008) Kalman filtering-theory and practice using MATLAB[M]. Wiley, New York, pp 31–120Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.The 20th Research Institute of CETCXianChina

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