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Design and Performance Evaluation of an Adaptive Hybrid Coherent and Non-coherent GNSS Vector Tracking Loop

机译:自适应混合相干与非相干GNSS矢量跟踪环路的设计与性能评价

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The GNSS vector tracking loop can be divided into two categories, coherent and non-coherent. In coherent algorithms, the GNSS accumulated correlator outputs are chosen as the Kalman filter's measurements directly, while discriminator outputs are used as measurements in non-coherent algorithms. The coherent algorithms is better for carrier-phase tracking and coherent code tracking is less noisy than non-coherent. However, it will not work well in weak-signal environments. On contrary, the non-coherent algorithms can maintain tracking in weaker signal environments than coherent algorithms because the code discriminator function is independent of the carrier phase. What's more, the non-coherent algorithms can abandon the carrier phase in order to keep the robustness when there is not sufficient carrier power to noise density (C/No) to track carrier phase. In order to maintain high position precision in weak-signal environments, this paper proposes an adaptive hybrid coherent and non-coherent GNSS vector tracking loop (AHVTL), which is implemented with coherent vector tracking loop used as the primary mode and non-coherent vector tracking loop as the reversionary. An adaptive hysteresis controller is designed to implement the tracking mode switch of the AHVTL so that the AHVTL can work in coherent, non-coherent aided coherent and non-coherent modes and switches the tracking mode adaptively according to the signal quality. Besides, the robust extended Kalman filter algorithm for the AHVTL is also included in this paper to further enhance the accurate estimates under weak-signal environments. It uses an adaptive factor to adjust extended Kalman filters so as to detect and reduce the influence of measurement outliers and noise. The experiment results show that the proposed AHVTL can operate under the applications where both high precision and weak-signal environments are required. The AHVTL also works well in weak-signal environments, where some signals are attenuated more than others. Compared to the traditional scalar tracking loop, single coherent and single non-coherent tracking loop, the proposed AHVTL can achieve accuracy and robustness tracking performance preferably under weak-signal environments.
机译:GNSS矢量跟踪环路可分为两类,连贯和非相干。在相干算法中,选择GNSS累积的相关器输出直接作为卡尔曼滤波器的测量值,而鉴别器输出用作非相干算法中的测量。相干算法对于载波相位跟踪更好,并且相干的代码跟踪比非相干性噪声较小。但是,在弱信号环境中它不适用于很好的工作。相反,非相干算法可以维持比相干算法在较弱的信号环境中的跟踪,因为代码鉴别器函数与载波相似。更重要的是,非相干算法可以放弃载波阶段,以便在没有足够的载波电力到噪声密度(C / NO)以跟踪载波相时保持稳健性。为了在弱信号环境中保持高位置精度,本文提出了一种自适应混合相干和非相干GNSS向量跟踪环(AHVTL),其用与主要模式和非相干载体一起使用的相干载体跟踪环路实现跟踪循环作为重返。自适应滞后控制器旨在实现AHVT1的跟踪模式开关,使得AHVTL可以以相干,非相干的辅助相干和非相干模式工作,并根据信号质量自适应地切换跟踪模式。此外,AHVTL的强大扩展卡尔曼滤波器算法还包括在本文中,以进一步增强弱信号环境下的准确估计。它使用自适应因素来调整扩展卡尔曼滤波器,以检测和减少测量异常值和噪声的影响。实验结果表明,所提出的AHVTL可以在需要高精度和弱信号环境的应用下运行。 AHVTL也适用于弱信号环境,其中一些信号比其他信号更衰减。与传统的标量跟踪环路相比,单相干和单个非相干跟踪环路,所提出的AHVTL可以在弱信号环境下实现精度和稳健性跟踪性能。

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