Skip to main content
Log in

Analytical and simulation-based comparison between traditional and Kalman filter-based phase-locked loops

  • Original Article
  • Published:
GPS Solutions Aims and scope Submit manuscript

Abstract

We investigate and quantitatively analyze the similarities and differences between traditional phase-locked loops (PLLs) and Kalman filter (KF)-based PLLs. We focus on three aspects. First, the transient response of traditional and KF-based PLLs versus the steady-state bandwidth is investigated, where the transient time is used as a criterion to compare their tracking performance in the transient state. Second, the noise performance and the dynamic response of the PLL are investigated and compared, in the cases that the Doppler shift is extracted from either the velocity accumulator or the filter output. Moreover, the steady-state frequency error due to the high signal dynamics is derived. Third, a method that feeds back the frequency rate to numerically controlled oscillator (NCO) is proposed, where a detailed derivation of the quantitative mathematical relationship between the phase mismatch, the coherent integration interval and the signal dynamics is performed. The proposed method provides an effective approach to reducing the significant phase mismatch and obtaining more accurate carrier phase measurements in applications where high dynamics or long integration intervals may influence the tracking performance of the GNSS receivers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  • Bernal D, Closas P, Fernandez-Rubio JA (2008) Particle filtering algorithm for ultra-tight GNSS/INS integration. Proc. ION GNSS 2008. Institute of Navigation, Savannah, pp 2137–2144

    Google Scholar 

  • Christiansen GS (1994) Modeling of a PRML timing loop as a Kalman filter. In: Global Telecommunications Conference, 1994. GLOBECOM’ 94. Communications: the global bridge, IEEE (Vol. 2), San Francisco 28 November–2 December 1994, pp 1157–1161

  • Driessen PF (1994) DPLL bit synchronizer with rapid acquisition using adaptive Kalman filtering techniques. IEEE Trans Commun 42(9):2673–2675. doi:10.1109/26.317406

    Article  Google Scholar 

  • Guo Y, Wu W, He X (2011) High dynamic carrier phase tracking based on adaptive Kalman filtering. In: Chinese control and decision conference, China, Mianyang, 23–25 May 2011, pp 1245–1249

  • Jin L (2012) Robust tracking technology for pilot channel signals of new generation GNSS, ch. 5. Tsinghua University, Haidian, pp 95–102

    Google Scholar 

  • Kazemi PL, O’Driscoll C, Lachapelle G (2009) Digital phase locked loop with frequency rate feedback. Proc. ION GNSS, 2009. Institute of Navigation, Savannah, pp 201–208

    Google Scholar 

  • Mileant A, Simon M (1986) Improved performance of a digital phase locked loop combined with a frequency/frequency rate estimator. TDA progress Report 42–86, Jet Propulsion Laboratory

  • O’Driscoll C, Lachapelle G (2009) Comparison of traditional and Kalman filter based tracking architecture. Proceedings of European Navigation Conference, University of Naples Parthenope, Naples

  • O’Driscoll C, Petovello MG, Lachapelle G (2011) Choosing the coherent integration time for Kalman filter-based carrier-phase tracking of GNSS signals. GPS Solut 15(4):345–356. doi:10.1007/s10291-010-0194-4

    Article  Google Scholar 

  • Petovello MG, O’Driscoll C, Lachapelle G (2008) Carrier phase tracking of weak GPS signals using different receiver architectures. Proc. ION NTM, 2008. Institute of Navigation, San Diego, pp 781–791

    Google Scholar 

  • Salem DR, O’Driscoll C, Lachapelle G (2012) Methodology for comparing two carrier phase tracking techniques. GPS Solut 16(2):197–207. doi:10.1007/s10291-011-0222-z

    Article  Google Scholar 

  • Tang X, Falco G, Falletti E, Presti LL (2014) Theoretical analysis and tuning criteria of the Kalman filter-based tracking loop. GPS Solut 19(3):1–15. doi:10.1007/s10291-014-0408-2

    Google Scholar 

  • Wang G, Blume F, Meertens C, Ibanez P, Schulze P (2012) Performance of high-rate kinematic GPS during strong shaking: observations from shake table tests and the 2010 Chile earthquake. J Geod Sci 2(1):15–30. doi:10.2478/v10156-011-0020-0

    Google Scholar 

  • Ward PW, Betz JW, Hegarty CJ (2006) Satellite signal acquisition, tracking, and data demodulation. In: Kaplan ED, Hegarty CJ (eds) Understanding GPS, chap 5, 2nd edn. Artech House, Boston, pp 153–241

    Google Scholar 

  • Won J-H, Eissfeller B (2013) A tuning method based on signal-to-noise power ratio for adaptive PLL and its relationship with equivalent noise bandwidth. Commun Lett IEEE 17:393–396. doi:10.1109/LCOMM.2013.01113.122503

    Article  Google Scholar 

  • Won J-H, Dotterbock D, Eissfeller B (2009) Performance comparison of different forms of Kalman filter approach for a vector-based GNSS signal tracking loop. Proc. ION GNSS, 2009. Institute of Navigation, Savannah, pp 185–199

    Google Scholar 

  • Won J-H, Pany T, Eissfeller B (2012) Characteristics of Kalman filters for GNSS signal tracking loop. IEEE Trans Aerosp Electron Syst 48(4):3671–3681. doi:10.1109/TAES.2012.6324756

    Article  Google Scholar 

  • Ziedan NI, Garrison JL (2004) Extended Kalman filter-based tracking of weak GPS signals under high dynamic conditions. Proc. ION GNSS, 2004. Institute of Navigation, Long Beach, pp 20–31

    Google Scholar 

Download references

Acknowledgments

The financial support of the National Natural Science Foundation of China (41174028, 61273053, 41404029), China Postdoctoral Science Foundation funded project (2013M542061, 2014T70738) and National Natural Science Foundation of Hubei Province (2014CFB727) is acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wenfei Guo.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Niu, X., Li, B., Ziedan, N.I. et al. Analytical and simulation-based comparison between traditional and Kalman filter-based phase-locked loops. GPS Solut 21, 123–135 (2017). https://doi.org/10.1007/s10291-015-0509-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10291-015-0509-6

Keywords

Navigation