GNSS TDCP测速高度角随机模型初步研究

Preliminary research on elevation-dependent stochastic model for GNSS velocity determination based on TDCP method

  • 摘要: 速度是描述和刻画载体运动状态的重要参数之一,众多应用和研究均对测速精度提出了较高的要求. GNSS测速技术凭借高精度、高效率等优点,成为一种重要的测速手段,获得了广泛应用. 在GNSS测速的相关研究中,针对测速算法和精度测评的研究较多,测速随机模型的研究却几近空白,应用中仍多采用定位的随机模型及参数. 本文基于单点载波相位时间差分(time-differenced carrier phase, TDCP)测速算法和最小二乘估计,研究了GNSS测速高度角随机模型的构建方法,建立了顾及接收机类型和卫星轨道的GPS/北斗导航卫星系统(BeiDou Navigation Satellite System,BDS)/Galileo三系统双频测速高度角随机模型. TDCP测速高度角随机模型的测试表明:接收机类型和导航系统-卫星轨道是影响测速随机模型的重要因素,构建的测速随机模型提高了多系统联合测速精度. 使用新构建的测速高度角随机模型,GPS、BDS、Galileo分别以双系统和三系统联合测速精度最高可分别提升:5.67%、5.81%、5.21%,9.58%.

     

    Abstract: Velocity is a crucial parameter for describing and characterising the motion state of a carrier. Consequently, numerous applications and research projects have set high standards for the accuracy of velocity determination. GNSS velocity determination technology has become an important means of speed measurement by virtue of its high accuracy and efficiency, and has been widely used. In the related research of GNSS velocity determination, there are more researches on velocity determination algorithm and accuracy evaluation, but the research on velocity determination stochastic model is almost blank, and the application still mostly uses the stochastic model and parameters of positioning. In this paper, based on the single-point time-differenced carrier phase (TDCP) velocity determination algorithm and the least squares estimation, we study the construction method of elevation-dependent stochastic model of the GNSS velocity determination, and establish the dual-frequency carrier phase velocity determination elevation-dependent stochastic model of the GPS/BDS/Galileo triple-system, which takes into account of the type of receivers and the orbit of the navigation satellites. Tests of the TDCP velocity determination elevation-dependent stochastic model show that the receiver type and navigation satellite orbit are important factors affecting the stochastic model, and the constructed stochastic model for velocity determination improves the accuracy of joint multi-system velocity determination. Using the newly constructed elevation-dependent stochastic model, the accuracy of dual-system and triple-system velocity determination of GPS, BDS and Galileo can be improved by up to 5.67%, 5.81%, 5.21% and 9.58%, respectively.

     

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