PORG Analysis Center


  Predicted GNSS Clock and Orbit products for PPP, designed to reduce reliance on continuous real-time correction streams.




Typical 24-Hour Prediction Performance:


  •  Clock agreement v RTS: ~0.5 ns STD
  •  Orbit agreement v RTS:  ~5 cm RMS
  •  Availability: 100% (no missing epochs)
  •  Epoch Interval:  Configurable down to 1 sec
  •  Available in SP3 and RINEX CLK format









High-Accuracy GNSS Orbit and Clock Predictions for PPP Workflows


Independent PPP testing has demonstrated stable rapid PPP solutions using PORG SP3/CLK products.


  • 100% data availability no missing epochs, reduced dependence on continuous real-time correction streams


  • Immediate precise-state availability — no dependency on correction-stream startup


  • Flexible temporal resolution — configurable down to 1 sec


  • Precomputed SP3 and RINEX CLK products — available prior to first prediction epoch 


High-accuracy GNSS clock and orbit predictions for PPP workflows.

This approach reduces reliance on continuous real-time correction streams by providing precomputed SP3/CLK products with full data availability and reduced dependence on continuous correction-stream connectivity. Designed for applications where consistency, availability, and deployment simplicity are critical.

Performance metrics shown are based on comparison against RTS and precise reference products using published PORG PRNs.

Request today’s dataset to evaluate performance in your own workflow.


Analysis

*Representative comparison of PORG predicted products against RTS and precise reference solutions.



Future Developments


We are currently exploring the extension of this approach to non-terrestrial positioning systems, including the development of predicted orbit and clock products for lunar navigation


This includes the generation of SP3-format ephemerides in a selenographic reference frame, supporting future lunar GNSS concepts and positioning frameworks.


These efforts are aligned with emerging lunar navigation architectures and aim to provide similar advantages in availability, independence from continuous correction streams, and flexible deployment.