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Real-Time Global Ionospheric Map and Its Application in Single-Frequency Positioning

机译:实时全球电离层图及其在单频定位中的应用

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摘要

The prevalence of real-time, low-cost, single-frequency, decimeter-level positioning has increased with the development of global navigation satellite systems (GNSSs). Ionospheric delay accounts for most errors in real-time single-frequency GNSS positioning. To eliminate ionospheric interference in real-time single-frequency precise point positioning (RT-SF-PPP), global ionospheric vertical total electron content (VTEC) product is designed in the next stage of the International GNSS Service (IGS) real-time service (RTS). In this study, real-time generation of a global ionospheric map (GIM) based on IGS RTS is proposed and assessed. There are three crucial steps in the process of generating a real-time global ionospheric map (RTGIM): estimating station differential code bias (DCB) using the precise point positioning (PPP) method, deriving slant total electron content (STEC) from PPP with raw observations, and modeling global vertical total electron content (VTEC). Experiments were carried out to validate the algorithm’s effectiveness. First, one month’s data from 16 globally distributed IGS stations were used to validate the performance of DCB estimation with the PPP method. Second, 30 IGS stations were used to verify the accuracy of static PPP with raw observations. Third, the modeling of residuals was assessed in high and quiet ionospheric activity periods. Afterwards, the quality of RTGIM products was assessed from two aspects: (1) comparison with the Center for Orbit Determination in Europe (CODE) global ionospheric map (GIM) products and (2) determination of the performance of RT-SF-PPP with the RTGIM. Experimental results show that DCB estimation using the PPP method can realize an average accuracy of 0.2 ns; static PPP with raw observations can achieve an accuracy of 0.7, 1.2, and 2.1 cm in the north, east, and up components, respectively. The average standard deviations (STDs) of the model residuals are 2.07 and 2.17 TEC units (TECU) for moderate and high ionospheric activity periods. Moreover, the average root-mean-square (RMS) error of RTGIM products is 2.4 TECU for the one-month moderate ionospheric period. Nevertheless, for the high ionospheric period, the RMS is greater than the RMS in the moderate period. A sub-meter-level horizontal accuracy and meter-level vertical accuracy can be achieved when the RTGIM is employed in RT-SF-PPP.
机译:随着全球导航卫星系统(GNSS)的发展,实时,低成本,单频,分米级定位的普遍性有所提高。电离层延迟是实时单频GNSS定位中大多数错误的原因。为了消除实时单频精确点定位(RT-SF-PPP)中的电离层干扰,在国际GNSS服务(IGS)实时服务的下一阶段中设计了全球电离层垂直总电子含量(VTEC)产品(RTS)。在这项研究中,提出并评估了基于IGS RTS的全球电离层图(GIM)的实时生成。生成实时全球电离层图(RTGIM)的过程中有三个关键步骤:使用精确点定位(PPP)方法估算站差分码偏差(DCB),从PPP推导倾斜总电子含量(STEC),原始观测值,并对全球垂直总电子含量(VTEC)建模。实验进行了验证算法的有效性。首先,使用来自16个全球分布的IGS站一个月的数据来验证PPP方法对DCB估算的性能。其次,使用30个IGS站通过原始观测来验证静态PPP的准确性。第三,在高和安静电离层活动期间评估了残留模型。之后,从两个方面对RTGIM产品的质量进行了评估:(1)与欧洲轨道确定中心(CODE)全球电离层地图(GIM)产品进行比较;(2)确定具有RTGIM。实验结果表明,采用PPP方法进行DCB估计可以实现0.2 ns的平均准确度。带有原始观测值的静态PPP在北,东和上部分的精度分别为0.7、1.2和2.1 cm。在中度和高度电离层活动期间,模型残差的平均标准偏差(STD)为2.07和2.17 TEC单位(TECU)。此外,在一个月的适度电离层周期内,RTGIM产品的平均均方根(RMS)误差为2.4 TECU。但是,对于高电离层周期,RMS大于中等周期的RMS。在RT-SF-PPP中使用RTGIM时,可以达到亚米级水平精度和米级垂直精度。

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