Robust GNSS signal tracking algorithm based on vector tracking loop under ionospheric scintillation conditions

Xia, Jun; Yue, Fuzhan; Wang, Pingping; Wang, Shuo

doi:10.1109/icosp.2014.7015421

Cited by 4 publications

(2 citation statements)

References 1 publication

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“…It also improved the navigation precision to a certain extent [9]. Xia et al proposed a vector-tracking algorithm based on VDFLL, which has a good effect on preventing signal fluctuations caused by ionospheric scintillation, making the signal-tracking loop perform well even in the case of strong ionospheric scintillation [10]. These methods not only enhance the noise-suppression capability of the signal processing system but also strengthen the anti-interference ability of the system.…”

Section: Related Workmentioning

confidence: 99%

A Robust Vector-Tracking Loop Based on KF and RTS Smoothing for Shipborne Navigation

Hu,

Wu,

Lou

et al. 2024

JMSE

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High-precision navigation systems are crucial for unmanned autonomous vessels. However, commonly used Global Navigation Satellite System (GNSS) signals are often severely affected by environmental obstruction, leading to reduced positioning accuracy or even the inability to locate. To address the issues caused by signal obstruction in high-precision navigation systems, the research presented in this paper proposes a vector-tracking loop (VTL) structure based on the forward Kalman Filter (KF) and the backward Rauch Tung Striebel (RTS) smoothing algorithm. The introduction of loop filters in the signal-tracking loop improves the tracking accuracy of the carrier and code, thereby enhancing the stability and robustness of the navigation system. The traditional scalar-tracking loop (STL), traditional VTL, and Kalman Filter (KF)−based VTL were compared through shipborne motion experiments, and the proposed method demonstrated superior signal-tracking capability and navigation accuracy. In the experiment, there were three blocking areas along the experimental path. The experimental results show that, when there are signal blockages of 12 s, 18 s, and 40 s, compared to the traditional VTL method, the proposed method can reduce the horizontal position error by 93.9%, 95.8%, and 94.5%, respectively, as well as the horizontal velocity error by 71.1%, 95.8%, and 97.6%, respectively.

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Section: Related Workmentioning

confidence: 99%

A Robust Vector-Tracking Loop Based on KF and RTS Smoothing for Shipborne Navigation

Hu,

Wu,

Lou

et al. 2024

JMSE

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“…Amplitude and phase scintillations degrade the satellite communication [2] and navigation system receivers tracking performance [9], which includes loss of lock and cycle slip [8]. In order to design and improve the positioning accuracy, navigation, availability and, timing information of advanced communication and global navigation satellite system (GNSS) receivers [10], the monitoring and mitigation of ionospheric scintillation effects is essential [11].…”

Section: Introductionmentioning

confidence: 99%

Mitigation of Ionospheric Scintillation Effects on GNSS Signals with VMD-MFDFA

Ahmed

Marlia

et al. 2019

Remote Sensing

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Severe scintillations degrade the satellite signal intensity below the fade margin of satellite receivers thereby resulting in failure of communication, positioning, and navigational services. The performance of satellite receivers is obviously restricted by ionospheric scintillation effects, which may lead to signal degradation primarily due to the refraction, reflection, and scattering of radio signals. Thus, there is a need to develop an ionospheric scintillation detection and mitigation technique for robust satellite signal receivers. Hence, variational mode decomposition (VMD) is proposed. VMD addresses the problem of ionospheric scintillation effects on global navigation satellite system (GNSS) signals by extracting the noise from the radio signals in combination with multifractal detrended fluctuation analysis (MFDFA). MFDFA helps as a criterion designed to detect and distinguish the intrinsic mode functions (IMFs) into noisy (scintillated) and noise-free (non-scintillated) IMF signal components using the MFDFA threshold. The results of the proposed method are promising, reliable, and have the potential to mitigate ionospheric scintillation effects on both the synthetic (simulated) and real GNSS data obtained from Manado station (latitude 1.34° S and longitude 124.82° E), Indonesia. From the results, the effectiveness of VMD-MFDFA over complementary ensemble empirical mode decomposition with MFDFA (CEEMD-MFDFA) is an indication of better performance.

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The BDS receiver tracking loop based on the weight adjustment and adaptive bandwidth

Lai

Zang

et al. 2017

2017 Chinese Automation Congress (CAC)

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Robust GNSS signal tracking algorithm based on vector tracking loop under ionospheric scintillation conditions

Cited by 4 publications

References 1 publication

A Robust Vector-Tracking Loop Based on KF and RTS Smoothing for Shipborne Navigation

A Robust Vector-Tracking Loop Based on KF and RTS Smoothing for Shipborne Navigation

Mitigation of Ionospheric Scintillation Effects on GNSS Signals with VMD-MFDFA

The BDS receiver tracking loop based on the weight adjustment and adaptive bandwidth

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