• Electronics Optics & Control
  • Vol. 26, Issue 9, 42 (2019)
JI Kaiyuan1, ZAHNG Boya2, and JIANG Changhui2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2019.09.010 Cite this Article
    JI Kaiyuan, ZAHNG Boya, JIANG Changhui. A GNSS Carrier Tracking Algorithm Utilizing Support Vector Machine[J]. Electronics Optics & Control, 2019, 26(9): 42 Copy Citation Text show less

    Abstract

    For the conventional GNSS receiver, the carrier tracking loop is prone to lose lock in high dynamic environment. Under this condition, the receiver cannot work properly and provide accurate navigation information. To improve the performance of the carrier tracking loop under high dynamic circumstance, this paper proposes a new carrier tracking algorithm combining Phase-Lock-Loop (PLL) with Frequency-Lock-Loop (FLL) based on the support vector machine. A judge factor is introduced to define the state of the carrier tracking loop. The weights of the PLL and FLL are adjusted in real time according to the value of the judge factor. The support vector machine algorithm is employed to establish the nonlinear function of the judge factor and fusion weights of the loops. The simulation results show that this method can greatly improve the performance of the tracking loop in high dynamic environment.
    JI Kaiyuan, ZAHNG Boya, JIANG Changhui. A GNSS Carrier Tracking Algorithm Utilizing Support Vector Machine[J]. Electronics Optics & Control, 2019, 26(9): 42
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