GNSS Carrier Tracking via a Variational Bayesian Adaptive Kalman Filter for High Dynamic Conditions

Author:

Li Song,Ma Chunjiang,Ma Pengcheng,Lin Honglei,Tang Xiaomei,Wang Feixue

Publisher

Springer Nature Singapore

Reference10 articles.

1. Ge Q, Shao T, Chen S et al (2017) Carrier tracking estimation analysis by using the extended strong tracking filtering. IEEE Trans Ind Electron 64(2):1415–1424

2. Niu X, Li B, Ziedan NI et al (2017) Analytical and simulation-based comparison between traditional and Kalman filter-based phase-locked loops. GPS Solut 21(1):123–135

3. Psiaki ML, Jung H (2002) Extended Kalman filter methods for tracking weak GPS signals. In: Proceedings of the 15th international technical meeting of the satellite division of the institute of navigation (ION GPS 2002), Portland, OR, pp 2539–2553

4. Ziedan NI, Garrison JL (2004) Extended Kalman filter-based tracking of weak GPS signals under high dynamic conditions. In: Proceedings of the 17th international technical meeting of the satellite division of the institute of navigation (ION GNSS 2004), Long Beach, CA, pp 20–31

5. Han S, Wang W, Chen X et al (2010) Design and capability analyze of high dynamic carrier tracking loop based on UKF. In: Proceedings of the 23rd international technical meeting of the satellite division of the institute of navigation (ION GNSS 2010), Portland, OR, pp 1960–1966

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