Improvement of carrier phase tracking in high dynamics conditions using an adaptive joint vector tracking architecture

Chen, Shaohua; Gao, Yang

doi:10.1007/s10291-018-0806-y

Cited by 20 publications

(11 citation statements)

References 22 publications

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“…The concept related to the vector delay lock loop (VDLL) which is assumed as the prototype of the VT structure for the tracking loop towards the GNSS receiver design was initially presented by Spilker [47]. Over the past several years, the VT technique has been accounted for many researchers' interests embracing the objectives to enhance the ability of the receiver on weak and dynamic signal tracking [48,49], interference anti-jamming [50,51] as well as the multipath mitigation [52,53]. The researchers from the Position, Location And Navigation (PLAN) group of the University of Calgary have gained many achievements of working on the VT technique [50,[54][55][56].…”

Section: Vector Tracking Techniques For Gnss Receiver Designmentioning

confidence: 99%

Research on Time-Correlated Errors Using Allan Variance in a Kalman Filter Applicable to Vector-Tracking-Based GNSS Software-Defined Receiver for Autonomous Ground Vehicle Navigation

Luo

et al. 2019

Remote Sensing

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The global navigation satellite system (GNSS) has been applied to many areas, e.g.,the autonomous ground vehicle, unmanned aerial vehicle (UAV), precision agriculture, smart city,and the GNSS-reflectometry (GNSS-R), being of considerable significance over the past few decades.Unfortunately, the GNSS signal performance has the high risk of being reduced by the environmentalinterference. The vector tracking (VT) technique is promising to enhance the robustness in highdynamics as well as improve the sensitivity against the weak environment of the GNSS receiver.However, the time-correlated error coupled in the receiver clock estimations in terms of the VT loopcan decrease the accuracy of the navigation solution. There are few works present dealing with thisissue. In this work, the Allan variance is accordingly exploited to specify a model which is expectedto account for this type of error based on the 1st-order Gauss-Markov (GM) process. Then, it is usedfor proposing an enhanced Kalman filter (KF) by which this error can be suppressed. Furthermore,the proposed system model makes use of the innovation sequence so that the process covariancematrix can be adaptively adjusted and updated. The field tests demonstrate the performance of theproposed adaptive vector-tracking time-correlated error suppressed Kalman filter (A-VTTCES-KF).When compared with the results produced by the ordinary adaptive KF algorithm in terms of the VTloop, the real-time kinematic (RTK) positioning and code-based differential global positioning system(DGPS) positioning accuracies have been improved by 14.17% and 9.73%, respectively. On the otherhand, the RTK positioning performance has been increased by maximum 21.40% when comparedwith the results obtained from the commercial low-cost U-Blox receiver.

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Section: Vector Tracking Techniques For Gnss Receiver Designmentioning

confidence: 99%

Research on Time-Correlated Errors Using Allan Variance in a Kalman Filter Applicable to Vector-Tracking-Based GNSS Software-Defined Receiver for Autonomous Ground Vehicle Navigation

Luo

et al. 2019

Remote Sensing

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“…Yao et al [20] proposed a novel adaptive two-stage KF for tracking loops in high dynamic conditions. Chen et al [21] proposed a novel adaptive joint Kalman filter algorithm for the vector PLL, but this is not suitable for the scalar tracking loop. Harsha et al [22] and Vila et al [23] proposed the adaptive EKF (extended Kalman filter) method for carrier tracking, which is only fit for ionospheric scintillation conditions.…”

Section: Introductionmentioning

confidence: 99%

Kalman Filter with Adaptive Covariance Estimation for Carrier Tracking under Weak Signals and Dynamic Conditions

Cheng,

Zhang,

Wang

et al. 2024

Electronics

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Kalman filtering (KF)-based tracking has been commonly employed in global navigation satellite system (GNSS) receivers to achieve robust tracking. However, under more serious conditions, such as severe strength attenuation and abrupt dynamic coexisting environments, it is difficult for KF-based tracking to keep tracking well due to the fixed noise statistics. To further enhance the carrier tracking performance, this paper proposes an adaptive KF carrier tracking method for resisting signal strength fading and high dynamic environments. The proposed method introduces the adaptive factor to adjust the process noise covariance to accommodate the noise statistics in actual variable situations. Moreover, we apply the chi-square hypothesis test to detect system stability. The adaptive factor is only applied when the system is not stable, which can enhance computational efficiency. The proposed method is conducted in the GPS L1 software receivers. According to the results, the proposed algorithm can improve the robustness in tracking performance compared with other tracking methods under signal serious fading and high dynamic conditions. Using the proposed method, GNSS receivers’ navigation performance can be improved under complex conditions.

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“…Chen at al. [4] proposed and implemented an adaptive joint vector phase lock loop (VPLL), which can improve the phase tracking performance under highly dynamic conditions. The test results have shown that compared with conventional VPLL, the proposed adaptive joint VPLL can improve the carrier phase tracking performance under highly dynamic conditions.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the Segmentation Results of Two Carrier Tracking Loop Types and Analysis of Theoretical Influencing Factors

et al. 2021

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This paper proposes an accurate quantitative segmentation method by analyzing the probability distribution of tracking variance and strict derivation based on the tracking loop theory. The segmentation points are taken as characteristics of phase lock loop (PLL) and frequency lock loop (FLL) performances, and the two factors that cause the performance difference are discriminator gain and filtering coefficient, which denote proportional and integration coefficients, respectively. The filtering coefficients lead to a difference of 2.5 dB-Hz between the FLL and PLL. Moreover, through the analysis of the normalized bandwidth and phase margin, it is found that the integration time and bandwidth need a dynamic balance to achieve the best performance. Finally, the simulation results and real data are in good agreement with the theoretical analysis results. The minimum mean error rate of the deviation between the real data and the theoretical data is only 1.8%. In the proposed method, the influence of external hardware factors on the tracking loop is removed, and the loop design factors are modeled directly. Instead of testing the denoising performance based on the ranging and angle measuring error after location calculation, the filter coefficient is proposed to evaluate the processing performance of the tracking loop objectively and directly at the theoretical level, which proposes a new performance evaluation method at the theoretical level. The results presented in this study provide theoretical support for the design of a new-type tracking loop with enhanced performances.

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Improvement of carrier phase tracking in high dynamics conditions using an adaptive joint vector tracking architecture

Cited by 20 publications

References 22 publications

Research on Time-Correlated Errors Using Allan Variance in a Kalman Filter Applicable to Vector-Tracking-Based GNSS Software-Defined Receiver for Autonomous Ground Vehicle Navigation

Research on Time-Correlated Errors Using Allan Variance in a Kalman Filter Applicable to Vector-Tracking-Based GNSS Software-Defined Receiver for Autonomous Ground Vehicle Navigation

Kalman Filter with Adaptive Covariance Estimation for Carrier Tracking under Weak Signals and Dynamic Conditions

Comparison of the Segmentation Results of Two Carrier Tracking Loop Types and Analysis of Theoretical Influencing Factors

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