High-precision GNSS-based positioning relies on accurate antenna Phase Center Corrections (PCC). However, the lack of universally accepted ground truth for antenna calibration values leads to discrepancies between results from different calibration facilities and methods. These differences (dPCC) are typically analyzed in the PCC domain as defined by the Antenna Exchange (ANTEX) format. Yet, agreement at the PCC grid level does not directly reflect the impact on estimated geodetic parameters. We present PCC-Suite, an open-source Python toolkit with user-friendly graphical interfaces for exploring, converting, visualizing and analyzing PCC or dPCC. ATX-Scanner enables search and filtering of ANTEX files by antenna type, frequency, calibration method, and other metadata. PCC-Viewer visualizes PCC or dPCC for selected frequencies and ionosphere-free linear combinations (IF-LC), using stereographic projections and azimuth-averaged profiles. ATX-Converter provides bidirectional conversion between ANTEX versions 1.4 and 2.0. The core component, PCC-Explorer, quantifies the impact of PCC or dPCC on geodetic parameters, i.e., topocentric coordinate differences, receiver clock estimates and tropospheric parameters, under realistic multi-GNSS conditions. The software processes ANTEX data (v1.4 or v2.0), supports major GNSS constellations and frequencies, and allows user-defined IF-LC. Configurable parameters include station location and time span, azimuth/elevation masks, observation weighting, tropospheric mapping functions, sampling rate, and solution length (e.g., 3 h or 24 h). It further enables regional to global impact assessments on user-defined grids. The analysis is focused on geodetic parameters of operational significance for GNSS users and network providers. Exemplary simulations are interpreted and validated against Precise Point Positioning (PPP) solutions derived from real GNSS observations from the IGS antenna calibration campaign. In addition, a kinematic mode is presented, allowing users to import a trajectory to assess the impact of dPCC on geodetic parameters along a moving path. Overall, PCC-Suite enables GNSS users and network operators to make informed assessments of calibration quality and thus supports standardized, reproducible, and reliable evaluation of the influence of calibration results on geodetic parameters.

Antennas for receiving signals from Global Navigation Satellite Systems (GNSS) are the first element in the GNSS data processing chain. The antenna performance determines not only the sensitivity to the useful GNSS signal information, but also to the most prominent error sources that prevent safe and ac- curate positioning, namely multipath and interference. The issue of interference is also present at larger distances from conflict regions, affecting civilian geodetic infrastructure and civil aviation. Jamming and spoofing call for more resilient GNSS antenna designs, with multi-antenna systems being among the most effective countermeasures for achieving robust GNSS performance. For highly precise and accurate GNSS-based positioning, Phase Center Corrections (PCC) and Code Phase Corrections (CPC) need to be applied. The determination of these corrections is known as an- tenna calibration and can be done either in the field using a robot and real GNSS signals or in an anechoic chamber using artificially generated signals. In our contribution, we briefly introduce the main objectives of the project RENEGANT (Get REady for NExt Generation of GNSS ANTenna systems). It is a collaborative DFG-funded project between the Institut für Erdmessung (IfE) and the Institute of Communications and Navigation at DLR. The project aims to develop a novel robot-based calibration methodology using real GNSS signals to characterize multi-antenna arrays, while simultaneously investigating the impact of calibration setups, particularly for miniaturized antennas, on CPC and PCC. This contribution presents first comparisons between calibrations of a small u-blox ANN-MB1 an- tenna on a robot at IfE using real GNSS signals and calibrations of the same antenna conducted in a semi-anechoic chamber at DLR. Observed differences are discussed in terms of signal noise, near-field effects induced by the robot platform, and potential impact from the antenna holder used in the chamber environment. Furthermore, first calibration results for individual elements of a Controlled Reception Pattern An- tenna (CRPA) array are presented. The estimated phase center locations of these elements are visualized, highlighting the importance of accounting for active components, such as Low Noise Amplifiers (LNAs), which may significantly influence CPC and PCC due to their electromagnetic interaction with the receiving antenna elements.