FocusPOD: A POD and Geodesy SW Package

Since 2021, GMV has been developing FocusPOD, a new Precise Orbit Determination (POD) and Geodesy software package. Written in modern C++ and Python, FocusPOD is designed around four key pillars:
1.    Object-Oriented Programming: Utilizing C++17 and Python3, FocusPOD leverages external libraries and tools to minimize code development, focusing on specific algorithms. The C++ Standard Library (STL) efficiently handles large datasets.
2.    Data-Algorithm Separation: This approach allows data reuse for multiple purposes and consistent multi-technique processing with a single algorithm implementation.
3.    Data Model: Organizing data in a centralized model, akin to a relational database, facilitates easy navigation through extensive geodesy datasets.
4.    Multi-Use Case Support: FocusPOD supports various users, including experts, operators, and machine-to-machine architectures.

The first application of FocusPOD in 2023 was standalone GNSS POD. It is now operational in the Copernicus POD (CPOD) Service, generating millimeter-accuracy orbits for Copernicus Sentinel satellites. SLR processing was added to compute SLR residuals and biases for CPOD quality control with state-of-the-art accuracy. In July 2024, standalone DORIS POD was implemented, achieving centimeter-accuracy orbits for Sentinel-3 and -6 using DORIS only; same was demonstrated with standalone SLR POD. Future steps include integrating state-of-the-art tropospheric models for improving the accuracy of DORIS and SLR POD.

The latest incorporation into FocusPOD is the support to GNSS network processing, handling multiple receivers and GNSS constellations, to estimate orbits, clocks, station coordinates, troposphere, and Earth Orientation Parameters (EOPs). In parallel, advancement have been made to incorporate VLBI, implementing the IERS consensus model for observation reconstruction. These implementations will natively support single- and multi-technique at observation level with the four geodetic techniques. The final pending step is to estimate global solutions through Normal Equation (NEQ) stacking, on which the four techniques could be combined consistently.

This contribution will present the capabilities of FocusPOD, focusing on available models, algorithms, and the results achievable with each technique. It will also outline the current capabilities and maturity level of each technique, along with future development plans.