Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Direct position tracking loop based on linearised signal model for global navigation satellite system receivers

© The Institution of Engineering and Technology
Received 18/07/2012, Accepted 28/02/2013, Revised 11/02/2013, Published

Vehicle positioning with global navigation satellite system in urban environments has three challenges: signal attenuation, multipath and dynamic. In this study, the direct position tracking loop (DPTL) is proposed. Different from non-linear navigation domain vector tracking loops, DPTL is a linear scheme derived from the linearised model of baseband signal. Thus, the computational cost of DPTL is not too expensive. Different from pseudorange-based vector tracking loops (PB-VTLs) taking pseudorange residuals as intermediate variables to synthesise user position residuals, DPTL directly discriminates user position residuals in the domain of user position and receiver clock bias. Thus, DPTL takes full advantage of geometric relationships between the receiver and satellites to improve positioning accuracy. Moreover, for the purpose of improving positioning accuracy and maintaining sufficiently wide dynamic range at the same time, DPTL incorporates the vehicle movement characteristic in urban environments to configure early–late distance spacings of the discriminator and process noise power spectral densities of Kalman filter separately for each component of user position and receiver clock bias. Performance analysis and simulation confirm the tracking and positioning performance of DPTL is better than that of the PB-VTL in both dynamic weak signal and multipath environments.

Inspec keywords: spectral analysis; radio receivers; tracking; signal processing; satellite navigation; Kalman filters; discriminators; vehicles

Other keywords: pseudorange residuals; global navigation satellite system receivers; geometric relationships; linearised signal model-based direct position tracking loop; Kalman filter; process noise power spectral densities; user position residual discrimination; DPTL computational cost; baseband signal; positioning accuracy; signal attenuation; receiver clock bias; linear scheme; vehicle movement characteristic; nonlinear navigation domain vector tracking loops; pseudorange-based vector tracking loops; multipath environments; urban environments; wide dynamic range; PB-VTL; vehicle positioning; user position residual synthesis; early-late distance spacings

Subjects: Modulators, demodulators, discriminators and mixers; Radio links and equipment; Filtering methods in signal processing; Radionavigation and direction finding

References

    1. 1)
      • 4. Closas, P., Fernandez-Prades, C.: ‘Bayesian direct position estimation’. Proc. 21st ION GNSS, Savannah, GA, USA, September 2008, pp. 183–190.
    2. 2)
      • 6. Weill, L.R.: ‘A high performance code and carrier tracking architecture for ground-based mobile GNSS receivers’. Proc. 23rd ION GNSS, Portland, OR, USA, September 2010, pp. 140–151.
    3. 3)
      • 8. Closas, P., Fernandez-Prades, C.: ‘Maximum likelihood estimation of position in GNSS’, IEEE Signal Process. Lett., 2007, 14, (5), pp. 359–362 (doi: 10.1109/LSP.2006.888360).
    4. 4)
      • 10. Brown, R.G., Hwang, P.Y.C.: ‘Introduction to random signals and applied Kalman filtering’ (John Wiley & Sons, New York, 1996, 3rd edn.).
    5. 5)
      • 5. Closas, P., Fernandez-Prades, C.: ‘Direct position estimation approach outperforms conventional two-steps positioning’. Proc. XVII European Signal Processing Conf. (EUSIPCO), Glasgow, Scotland, August 2009, pp. 1958–1962.
    6. 6)
      • 2. Pany, T., Eissfeller, B.: ‘Use of a vector delay lock loop receiver for GNSS signal power analysis in bad signal conditions’. Proc. IEEE/ION PLANS, San Diego, CA, USA, April 2006, pp. 893–903.
    7. 7)
      • 7. Liu, J., Cui, X.W.: ‘A direct position tracking loop for GNSS receivers’. Proc. 24th ION GNSS, Portland, OR, USA, September 2011, pp. 3634–3643.
    8. 8)
      • 3. Liu, J., Cui, X.W.: ‘A vector tracking loop based on ML estimation in dynamic weak signal environments’. Proc. China Satellite Navigation Conf. (CSNC, 2012), 2012(Lecture Notes in Electrical Engineering 161), no. 3, pp. 629–643.
    9. 9)
      • 9. Parkinson, B.W., Spilker, J.J.: ‘Global positioning system: theory and applications’ (AIAA, Washington, DC, 1996).
    10. 10)
      • 1. Lashley, M., Bevly, D.M.: ‘Performance analysis of vector tracking algorithms for weak GPS signals in high dynamics’, IEEE J. Sel. Top. Signal Process., 2009, 3, (4), pp. 661–673 (doi: 10.1109/JSTSP.2009.2023341).
    11. 11)
      • 11. Irsigler, M.: ‘Characterization of multipath phase rates in different multipath environments’, GPS Solute, 2010, 14, (4), pp. 305–317 (doi: 10.1007/s10291-009-0155-y).
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rsn.2012.0307
Loading

Related content

content/journals/10.1049/iet-rsn.2012.0307
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address