Modelling and Comparison of Tracking Loops for GPS Signal
DOI:
https://doi.org/10.3849/aimt.01141Keywords:
vector tracking loop, Kalman filterAbstract
Nowadays, Global Positioning System (GPS) applications are widely spread and affect all aspects of our modern lives. They can be found in many different fields, such as aviation, environment, marine, space, surveying, mapping, and military operations. In military, the GPS is employed in missile guidance, vessels and aircraft navigation, location, communication network timing, etc. The GPS receiver is required to be more and more robust to withstand harsh condition, for example losing signal or jamming. This paper demonstrates the implementation and simulation of an advanced tracking technique that is used in modern GPS receivers – a vector tracking loop. Brief related principles of a GPS receiver are introduced. The principle of traditional tracking loop is shown and compared to the vector tracking loop. An extended Kalman filter is employed as a vector tracking algorithm. The extended Kalman filter uses pseudo range rate, which is computed from both the code and the carrier to constrain the receiver velocity. The acquired results are compared and advantages of the vector tracking algorithm against the traditional tracking loop are presented in this paper, including characteristics of the vector tracking loop.
References
VU, B.N. and ANDRLE, M. The code and carrier tracking for GPS Signal. In 16th Mechatronika 2014. Brno: University of technology, 2014, p. 569-574.
KAPLAN, E.D. and HEGARTY, CH.J. Understanding GPS – Principles and Applications. Norwood, MA: Artech House, 2006.
Global Positioning System, Standard Positioning Service, Performance Standard. Washington: Pentagon, 2008.
GLONASS, Interface Control Document, Navigational radiosignal in bands L1, L2. Moscow: Russian Institute of Space Device Engineering, 2008.
VU, B.N. and ANDRLE, M. Implementation Of Vector Tracking Loop Algorithm In Modern Gps Receiver. In Digital Avionics Systems Conference (DASC), 2014 IEEE/AIAA 33rd. Colorado Springs, CO, 2014, p. 3E1-1 – 3E1-9.
MATTHEW, L. and BELVY D. Comparison of traditional tracking loops and vector based tracking loops for weak GPS signals. In National Technical Meeting of The Institute of Navigation. Manassas, VA, 2008, p. 310-316.
VASEGHI, S.V. Advanced Digital Signal Processing and Noise Reduction. London: Wiley, 2008.
WELCH, G. and BISHOP, G. An Introduction to the Kalman Filter. Chapel Hill: University of North Carolina, 2006.
DIGGELEN, F.V. Assisted GPS, GNSS and SBAS. London: Artech House, 2009.
BAO-YEN, J.T. Fundamentals of Global Positioning System Receivers: A Software Approach. London: Wiley, 2005.
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