Abstract
Satellite navigation receiver would have difficulties in continuous positioning or gets a bad positioning performance in dense urban environment, mostly due to low signal-to-noise-ratio and frequently signal outage. To improve robustness under the challenging environment, a combined BeiDou Satellites System (BDS) and global positioning system (GPS) adaptive vector tracking loop is proposed. An adaptive extended Kalman filter (EKF) based on innovation sequences is employed to tune the tracking loop, and generate navigation solutions. The algorithms are implemented on Matlab software receiver and digital intermediate frequency (IF) signals grabbed by a global navigation satellite system (GNSS) signal sampler under blocked outdoor scenarios are utilized to verify the performance. The tracking and positioning results of vector and scalar tracking loop are compared.
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References
Parkinson BW, Spilker JJ, Axelrad P et al (1996) Global positioning system: theory and applications. American Institute of Aeronautics and Astronautics, Washington DC
Pany T, Kaniuth R, Eissfeller B (2005) Deep integration of navigation solution and signal processing. In: ION GNSS, pp 1095–1102, 13–16 Sept 2005
Pany T, Kaniuth R, Eissfeller B (2005) Testing a vector delay/frequency lock loop implementation with the ipex software receiver. In: Proceedings of GPS/GNSS Symposium, pp 1–9
Pany T, Eissfeller B (2006) Use of a vector delay lock loop receiver for GNSS signal power analysis in bad signal conditions. In: IEEE/ION PLANS, pp 893–903, 25–27 May 2006
Won J-H, Eissfeller B (2010) Effectiveness analysis of vector-tracking-loop in signal fading environment. In: Satellite navigation technologies and european workshop on GNSS signals and signal processing, pp 1–6
Won J-H, Dotterbock D, Eissfeller B (2010) Performance comparison of different forms of kalman filter approaches for a vector-based GNSS signal tracking loop. J Inst Navig 57(3):185–199
Lashley M, Bevly DM (2007) Analysis of discriminator based vector tracking algorithms. In: ION NTM pp 570–576, 22–24 Jan 2007
Lashley M, Bevly DM (2007) Comparison of traditional tracking loops and vector based tracking loops for weak GPS signals. In: ION GNSS, pp 789–795, 25–28 Sept 2007
Lashley M, Bevly DM (2009) Vector delay/frequency lock loop implementation and analysis. In: ION ITM, pp 1073–1086, 26–28 Jan 2009
Lashley M, Bevly DM, Hung JY (2010) A valid comparison of vector and scalar tracking loops. In: IEEE/ION PLANS, pp 464–474
Lashley M, Bevly DM, Hung JY (2009) Performance analysis of vector tracking algorithms for weak GPS signals in high dynamics. IEEE J Sel Top Signal Process 3(4):661–673
Zhao S, Akos DM (2011) An open source GPS/GNSS vector tracking loop—implementation, filter tuning, and results. In: ION ITM, pp 1293–1305, 24–26 Jan 2011
Borre K, Akos DM, Bertelsen N et al (2007) A software-defined GPS and Galileo receiver: a single-frequency approach. Birkhäuser Boston, New York
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© 2016 Springer Science+Business Media Singapore
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Song, Y., Lian, B. (2016). Combined BDS and GPS Adaptive Vector Tracking Loop in Challenge Environment. In: Sun, J., Liu, J., Fan, S., Wang, F. (eds) China Satellite Navigation Conference (CSNC) 2016 Proceedings: Volume I. Lecture Notes in Electrical Engineering, vol 388. Springer, Singapore. https://doi.org/10.1007/978-981-10-0934-1_48
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DOI: https://doi.org/10.1007/978-981-10-0934-1_48
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