@article {Allende-Albanavi.530, author = {Gerardo Allende-Alba and Steffen Thoelert, and Stefano Caizzone}, title = {Gain Pattern Reconstruction of GPS Satellite Antennas Using a Global Receiver Network}, volume = {69}, number = {3}, elocation-id = {navi.530}, year = {2022}, doi = {10.33012/navi.530}, publisher = {Institute of Navigation}, abstract = {For GNSS signal power monitoring systems, the characterization of satellite antennas plays an important role. Recently, gain pattern reconstructions of Galileo satellite antennas have been obtained using single-station observations. However, due to the characteristics of GPS orbits, such an approach is less suitable for GPS satellite antennas. This study introduces a methodology for multi-station satellite antenna gain pattern reconstruction. To overcome the unavailability of receiver antenna gain patterns at the employed stations, a dedicated algorithm is introduced that uses an antenna at a base station to remotely characterize the antennas in network stations. Obtained reconstructions of L1 antenna gain patterns of selected GPS satellites show a consistency at the 0.3{\textendash}0.4 dB level (95\%) with data provided by the manufacturer and better than 0.3 dB (95\%) with ground-based observations using a high-gain antenna. The introduced methodology may be employed in the establishment of permanent multi-constellation GNSS signal power monitoring systems.}, issn = {0028-1522}, URL = {https://navi.ion.org/content/69/3/navi.530}, eprint = {https://navi.ion.org/content/69/3/navi.530.full.pdf}, journal = {NAVIGATION: Journal of the Institute of Navigation} }