Hostname: page-component-76fb5796d-9pm4c Total loading time: 0 Render date: 2024-04-26T08:19:04.825Z Has data issue: false hasContentIssue false
  • English
  • Français

A filter algorithm for receiver tracking loops assisted by inertial information

Published online by Cambridge University Press:  14 December 2021

Zhifeng Han Open the ORCID record for Zhifeng Han [Opens in a new window]  and
Zheng Fang
Zhifeng Han*
Affiliation:
College of Transportation, Shandong University of Science and Technology, Qingdao, China.
Zheng Fang
Affiliation:
China Electronics Technology Group Corporation Instrument co. LTD, Qingdao, China
*
*Corresponding author. E-mail: hanzhifeng@nuaa.edu.cn
Get access Rights & Permissions [Opens in a new window]

Abstract

In traditional satellite navigation receivers, the parameters of tracking loop such as loop bandwidth and integration time are usually set in the design of the receivers according to different scenarios. The signal tracking performance is limited in traditional receivers. In addition, when the tracking ability of weak signals is improved by extending the integration time, negative effect of residual frequency error becomes more and more serious with extension of the integration time. To solve these problems, this paper presents out research on receiver tracking algorithms and proposes an optimised tracking algorithm with inertial information. The receiver loop filter is designed based on Kalman filter, reducing the phase jitter caused by thermal noise in the weak signal environment and improving the signal tracking sensitivity. To confirm the feasibility of the proposed algorithm, simulation tests are conducted.

Keywords

inertial navigationsatellite receiverKalman filtersignal tracking
Type
Research Article
Information
The Journal of Navigation , Volume 75 , Issue 2 , March 2022 , pp. 496 - 506
Check for updates
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Borio, D., Sokolova, N. and Lachapelle, G. (2009). Memory Discriminators for Non-Coherent Integration in GNSS Tracking Loops, Atti dell'Istituto Italiano di Navigazione, 189 (July issue), 80–100.Google Scholar
Chiou, T. Y. (2005). GPS Receiver Performance Using Inertial-Aided Carrier Tracking Loop. Proc Ion GNSS.Google Scholar
Gebre-Egziabher, D., Razavi, A., Enge, P. K., Gautier, J., Pullen, B.S. and Akos, D.M. (2005). Sensitivity and performance analysis of Doppler-aided GPS carrier-tracking loops. Navigation, 52(2), 49–60.CrossRefGoogle Scholar
Humphreys, T. E., Psiaki, M. L. and Kintner, P. M. (2005). GPS Carrier Tracking Loop Performance in the Presence of Ionospheric Scintillations. Proceedings of International Technical Meeting of the Satellite Division of the Institute of Navigation, Long Beach, CA.Google Scholar
Kaplan, E. D. and Hegarty, C. J. (2006). Understanding GPS Principles and Applications (2nd edition). Boston, London: Artech House.Google Scholar
Kazemi, P. (2010). Development of New Filter and Tracking Schemes for Weak GPS Signal Tracking. PhD Thesis, published as Report No. 20309, Department of Geomatics Engineering, The University of Calgary, Canada.Google Scholar
Landis, D., Thorvaldsen, T., Fink, B., Sherman, P. and Holmes, S. (2006). A Deep Integration Estimator for Urban Ground Navigation Position, Location, and Navigation Symposium, 2006 IEEE/ION. IEEE, 927–932.Google Scholar
Lashley, M. (2006). Kalman Filter Based Tracking Algorithms for Software GPS Receivers Auburn University, Auburn, ALGoogle Scholar
Lashley, M. and Bevly, D. M. (2007). Analysis of Discriminator Based Vector Tracking Algorithms. Proceedings of the National Technical Meeting of the Institute of Navigation, 570–576.Google Scholar
Lashley, M. and Bevly, D. M. (2009). Vector Delay/Frequency Lock Loop Implementation and Analysis. Proceedings of the International Technical Meeting of the Institute of Navigation, 1073–1086.Google Scholar
Lashley, M., Bevly, D. M. and Hung, J. Y. (2009). Performance analysis of vector tracking algorithms for weak GPS signals in high dynamics. IEEE Journal of Selected Topics in Signal Processing, 3(4), 661–673.CrossRefGoogle Scholar
Li, T., Petovello, M. G., Lachapelle, G. and Basnayake, C. (2010). Ultra-tightly coupled GPS/vehicle sensor integration for land vehicle navigation. Navigation, 57(4), 263–274.CrossRefGoogle Scholar
O'Driscoll, C., Petovello, M. G. and Lachapelle, G. (2008). Impact of Extended Coherent Integration Times on Weak Signal RTK in an Ultra-Tight Receiver. Royal Institute of Navigation Conference, London.Google Scholar
Pany, T. and Eissfeller, B. (2006). Use of a Vector Delay Lock Loop Receiver for GNSS Signal Power Analysis in Bad Signal Conditions. Position, Location, and Navigation Symposium, 2006 IEEE/ION. IEEE, 893–903.CrossRefGoogle Scholar
Petovello, M. G. and Lachapelle, G. (2006). Comparison of vector-based software receiver implementations with application to ultra-tight GPS/INS integration. Int. Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNNS), 1790–1799.Google Scholar
Psiaki, M. L., Jung, H. and Jung, H. (2002). Extended Kalman Filter Methods for Tracking Weak GPS Signals. Proceedings of International Technical Meeting of the Satellite Division of the Institute of Navigation, 2539–2553.Google Scholar
Shafaati, A., Tao, L., Broumandan, A. and Lachapelle, G. (2018). Design and implementation of an RTK-based vector phase locked loop. Sensors, 18(3), 845–864.CrossRefGoogle ScholarPubMed
Xu, B. and Hsu, L. T. (2019). Open-source MATLAB code for GPS vector tracking on a soft-ware-defined receiver. GPS Solutions, 23(2), 1–9.CrossRefGoogle Scholar
Ziedan, N. I. and Garrison, J. L. (2004). Extended Kalman Filter-Based Tracking of Weak GPS Signals under High Dynamic Conditions. ION GNSS 2004, Long Beach, CA, Institute of Navigation, 20–31.Google Scholar