Abstract
In software receiver, the signal tracking is an important pre-step in demodulation of the satellite signals and positioning. The signals tracking is composed of the carrier tracking loop and the C/A code tracking loop, which can be used to track the carrier component and the C/A component. In this paper, the Kalman filter used in carrier tracking loop is studied in depth, and aimed at the phenomenon of divergence caused by the increasing phase-difference in the Kalman phase lock loop with the increase of the tracking time, the causes of this phenomenon is analyzed and the divergence function that can be used to predict the size of the divergence is posed. Then the tracking loop filter under Kalman adjusts the gain model frequency correction unbiased algorithm is put forward. Experiments show that the divergence function can correctly predict the divergence of the original tracking loop, and the divergence problem of standard Kalman filter can be solved. The same frequency and phase tracking of high stability and high accuracy is always kept in the carrier tracking loop by this method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhang J (2012) The key technologies of the high-dynamic carrier tracking loop in GNSS software receiver. Dalian Maritime University
Psiaki ML, Jung H, Jung H (2002) Extended Kalman filter methods for tracking weak GPS signals. In: Proceedings of international technical meeting of the satellite division of the institute of navigation, pp 2539–2553
Hinedi S (1988) An extended Kalman filter based automatic frequency control loop. The Telecommunications and Data Acquisition Report, pp 219–228
Zeng X (2010) Study on the algorithm for weak signal acquisition and tracking in GPS software receiver. PLA Information Engineering University
Yu KKC, Watson NR, Arrillaga J (2005) An adaptive Kalman filter for dynamic harmonic state estimation and harmonic injection tracking. IEEE Trans Power Deliv 20(2):1577–1584
Jwo DJ, Wang SH (2007) Adaptive fuzzy strong tracking extended Kalman filtering for GPS navigation. IEEE Sens J 7(5):778–789
Gao T (2015) Research on carrier tracking technology of high dynamic navigation signal based on Kalman filter. Hunan University
Fu M, et al (2010) Kalman filtering theory and its application in navigation system. Science Press
Psiaki ML (2010) Smoother-based GPS signal tracking in a software receiver. IEEE Trans Aerosp Electron Syst
Lu Y (2009) The principle and implementation technology of the BDS/GPS dual mode software receiver. Beijing Electron Industry Press, pp 82–84
Acknowledgments
The National Natural Science Foundation of China (Grant No. 41774037).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zhang, L., Zhao, D., Peng, S., Zhu, C., Li, Z. (2018). The Divergence Analysis of Kalman Filter Phase Lock Loop and Unbiased Correction of Frequency. In: Sun, J., Yang, C., Guo, S. (eds) China Satellite Navigation Conference (CSNC) 2018 Proceedings. CSNC 2018. Lecture Notes in Electrical Engineering, vol 499. Springer, Singapore. https://doi.org/10.1007/978-981-13-0029-5_41
Download citation
DOI: https://doi.org/10.1007/978-981-13-0029-5_41
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-0028-8
Online ISBN: 978-981-13-0029-5
eBook Packages: EngineeringEngineering (R0)