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

机译:使用自适应联合矢量跟踪架构改进高动态条件下的载波相位跟踪

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摘要

The standard vector phase-locked loop (VPLL) with fixed pre-defined process noise covariance matrix usually loses lock when the receiver experiences high dynamic conditions. Two adaptive Kalman filters (KF), widely used for position calculation in Global Navigation Satellite System (GNSS) receivers, and their characteristics are analyzed and considered as potential solutions to this issue. An adaptive joint VPLL is then proposed and implemented to improve phase tracking performance in high dynamic conditions. In the proposed adaptive joint VPLL, the outputs of the individual filters in the joint VPLL are used to adaptively adjust the process noise covariance matrix of the common filter based on an Extended KF (EKF). A hardware simulator test and a field test have been conducted to assess the performance of the proposed adaptive joint VPLL, which is compared with the conventional VPLL. The test results show that the adaptive joint VPLL can improve the robustness of carrier phase tracking in high dynamic conditions.
机译:标准矢量锁相环(VPLL)具有固定预定义的过程噪声协方差矩阵通常在接收器经历高动态条件时失去锁定。两个自适应卡尔曼滤波器(KF)广泛用于全球导航卫星系统(GNSS)接收器的位置计算,并分析其特征,并被视为对此问题的潜在解决方案。然后提出并实施自适应接合VPLL,以提高高动态条件下的相位跟踪性能。在所提出的自适应接合VPL1中,关节VPLL中各个滤波器的输出用于基于扩展的KF(EKF)自适应地调整公共滤波器的过程噪声协方差矩阵。已经进行了硬件模拟器测试和现场测试以评估所提出的自适应接头VPL1的性能,其与常规VPLL进行比较。测试结果表明,自适应关节VPLL可以提高高动态条件下载体相位跟踪的鲁棒性。

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