000006852 001__ 6852
000006852 005__ 20240306084859.0
000006852 037__ $$aSCART-2024-0098
000006852 100__ $$aJiang, Guo
000006852 245__ $$aGPS/Galileo/BDS phase bias stream from Wuhan IGS analysis center for real-time PPP ambiguity resolution
000006852 260__ $$c2024
000006852 520__ $$aWhile few phase bias streams are available from the IGS Real-time Service Phase, such products are essential to enable PPP ambiguity resolution. Satellite phase biases and clocks should be estimated when fixing undifferenced ambiguities in a network solution, which is troublesome in real time and thus usually not done in practice. This study estimates real-time GPS/Galileo/BDS ambiguity-fixed multi-frequency raw phase biases from GNSS observation modeling. Multi-frequency narrow-lane and wide-lane uncalibrated phase delays (UPDs) are first extracted from the float ambiguities of the stations. Multi-frequency raw ambiguities are then resolved to form unambiguous carrier-range observations. Finally, the satellite phase observable-specific signal biases (phase OSBs) are estimated directly from the real-time network data processing using carrier-range observations only. The approach has been applied to generate real-time phase bias products at the Wuhan IGS analysis center. Real-time products are routinely calculated by 180 globally distributed stations. This study validates the approach and associated products using one week of data. The results show that triple-frequency kinematic PPP-AR based on the ambiguity-fixed phase OSBs can converge in 7.2 min on average, while those based on UPD products take 11.2 min to converge. The other software, PRIDE PPP-AR is used to validate the high-precision static positioning performance of the real-time OSB products. The results show that 82%, 85% and 76% of GPS, Galileo and BDS-3 narrow-lane ambiguities can be resolved successfully among global stations, achieving a mean positioning accuracy of 3.1, 3.0 and 6.0 mm for the east, north and up components.
000006852 594__ $$aNO
000006852 700__ $$aJianghui, Geng
000006852 700__ $$aJing, Zeng
000006852 700__ $$aXiangyu, Song
000006852 700__ $$aPascale, Defraigne
000006852 773__ $$pGPS Solutions$$y2024
000006852 8560_ $$fjiang.guo@ksb-orb.be
000006852 905__ $$apublished in
000006852 980__ $$aREFERD