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