估计接收机差分码偏差的GPS/BDS非组合精密单点定位模型

GPS/BDS Precise Point Positioning Model with Receiver DCB Parameters for Raw Observations

  • 摘要: 在传统多系统非差非组合精密单点定位(precise point positioning,PPP)模型中,电离层延迟会吸收部分接收机码硬件延迟,其估计值可能为负数。提出了一种估计接收机差分码偏差(differential code bias,DCB)参数的GPS(Global Positioning System)/BDS(BeiDou Navigation Satellite System)非组合PPP模型,将每个系统第1个频率上的接收机码硬件延迟约束为零,对接收机DCB进行参数估计,达到了分离电离层延迟和接收机码硬件延迟的目的,降低了接收机钟差和电离层延迟的相关程度。利用4个多星座实验(multi-GNSS experiment,MGEX)跟踪站的GPS/BDS数据进行了静态和动态PPP试验,结果表明,与不估计DCB参数的PPP模型相比,采用估计DCB参数PPP模型后,静态模式下定位精度和收敛速度平均提高了29.3%和29.8%,动态模式下定位精度和收敛速度平均提高了15.7%和21.6%。

     

    Abstract: ue to ionospheric delays caused by the receiver code biases in the traditional multi-GNSS precise point positioning (PPP) using raw observations, the estimates can be negative values. An improved model of Global Positioning System/BeiDou Navigoction Satellite System (GPS/BDS) PPP with receiver differential code bias (DCB) parameters for raw observations is proposed in which receiver code biases on the first frequency of each system are constrained to zero and receiver DCB parameters are estimated. Ionospheric delays and receiver code biases are separated by the presented model. Additionally, the singularity between receiver clock offsets and ionospheric delays is reduced. GPS/BDS data from 4 stations of the Multi-GNSS experiment (MGEX) network are processed in static and kinematic modes. The results show that with the proposed PPP model, the average positioning accuracy and convergence time in static/kinematic mode are improved by 29.3% and 15.7%, 29.8% and 21.6%, respectively, in comparison with the traditional PPP model.

     

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