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Standalone Velocity Estimation Method for BDS Receiver Based on Improved ARUKF

机译：基于改进Arukf的BDS接收机独立速度估计方法

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摘要

The Carrier-Phase-Derived Doppler (CPDD) observation is an important type of observation for high-precision standalone velocity estimation (SVE) with the BeiDou Navigation Satellite System (BDS) receiver. The CPDD observation is susceptible to receiver clock jump, carrier-phase cycle slips, and multipath error. How to improve the accuracy and reliability of the SVE method based on the CPDD observation has become an urgent problem to be solved. Based on the Velocity Domain Selective Fusion (VDSF) strategy, this paper proposes the VDSF-ARUKF method for accuracy and reliability improvement of the SVE results of the original ARUKF method. In this improved ARUKF method, the CPDD observation and the raw Doppler observation are fused together based on the detection statistic under the framework of the Adaptively Robust Unscented Kalman Filter (ARUKF). Based on actual observations of the BDS receiver, a set of testing experiments were designed to verify the effectiveness of this improved ARUKF method. The experimental results show that the SVE method of the BDS receiver based on the VDSF-ARUKF can improve the accuracy and reliability of the ARUKF SVE results of the BDS receiver. In the case of multidimensional gross errors in the CPDD observations, the VDSF-ARUKF method can still obtain the SVE results with the highest accuracy on the order of several 10(-2)m/s when compared with the VDFF-ARUKF method and the ARUKF method using the CPDD observations.
机译：载流子阶段衍生的多普勒（CPDD）观察是具有Beidou导航卫星系统（BDS）接收器的高精度独立速度估计（SVE）的重要观察。 CPDD观察易受接收器时钟跳跃，载波相循环滑动和多径误差的影响。如何提高基于CPDD观察的SVE方法的准确性和可靠性已成为亟待解决的迫切问题。基于速度域选择性融合（VDSF）策略，本文提出了VDSF-ARUKF方法，用于提高原始ARUKF方法的SVE结果的准确性和可靠性。在这种改进的ARUKF方法中，CPDD观察和原始多普勒观察基于自适应坚固的无味卡尔曼滤波器（ARUKF）的框架下的检测统计来融合在一起。基于BDS接收器的实际观察，设计了一组测试实验，验证了这种改进的ARUKF方法的有效性。实验结果表明，基于VDSF-ARUKF的BDS接收机的SVE方法可以提高BDS接收器的ARUKF SVE结果的准确性和可靠性。在CPDD观察中的多维粗略误差的情况下，VDSF-ARUKF方法仍然可以在与VDFF-ARUKF方法和VDFF-ARUKF方法相比时的最高精度，最高精度ARUKF方法使用CPDD观察。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第5期|7278190.1-7278190.14|共14页
  • 作者

    Shen Zilong; Liu Wenxiang; Peng Jing; Wang Feixue; Xiao Wei;

  • 作者单位

    Natl Univ Def Technol Coll Elect Sci Changsha 410073 Hunan Peoples R China;

    Natl Univ Def Technol Coll Elect Sci Changsha 410073 Hunan Peoples R China;

    Natl Univ Def Technol Coll Elect Sci Changsha 410073 Hunan Peoples R China;

    Natl Univ Def Technol Coll Elect Sci Changsha 410073 Hunan Peoples R China;

    Natl Univ Def Technol Coll Elect Sci Changsha 410073 Hunan Peoples R China;

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