Extended Kalman Filter for GPS Receiver Position Estimation

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 695)

Abstract

Navigation, tracking, and positioning of an object are a customary problem in many fields. Global Positioning System (GPS) is the best solution to this problem. Being GPS is wireless communication through space, the received ephemeris data are erroneous. Hence, the extraction of original ephemeris data from this erroneous data is the main hurdle. Adaptive algorithms provide better results to overcome this hurdle and also for the nonlinear type of system processing. In this paper, GPS receiver position is estimated by extended Kalman filter. A dual-frequency GPS receiver is used for input data, which is located at the Department of ECE, Andhra University, Visakhapatnam (17.73° N/83.31° E). The estimated GPS receiver position is compared with the original position coordinates to check the accuracy. Receiver clock error is also estimated. The result shows that the extended Kalman filter provides a good accuracy of the estimated results for GPS receiver positioning.

Keywords

GPS Kalman filter Dual-frequency receiver 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • N. Ashok Kumar
    • 1
  • Ch. Suresh
    • 2
  • G. Sasibhushana Rao
    • 1
  1. 1.Department of Electronics and Communication EngineeringAndhra University College of Engineering (A), Andhra UniversityVisakhapatnamIndia
  2. 2.Department of Information TechnologyAnil Neerukonda Institute of Technology and ScienceVisakhapatnamIndia

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