GNSS networks have become increasingly important over the past 15 years. Not only for the provision of DGNSS or RTK data, but also for e.g., orbit determination or interference monitoring. Current GNSS networks are based on a multitude of expensive ground stations (antenna, receiver, server, …) as well as fast data networks and central computer resources. The disadvantage of such networks is that the adaptations of these networks for new signals are usually associated with high costs and effort.

This paper proposes a new approach to development a sustainable, cost-effective, and flexible GNSS monitoring network within a defined area. The hardware for these stations should be reduced to a minimum. To reach this goal the GNSS network will build up with so-called Remote Radio Head sensors or in particular Software-Defined-Radios. These devices are connected with a short cable to the antenna and convert the GNSS signals from each station to a digital signal (IQ File). Due to the digitalization directly after the antenna, the transmission loss of the signal is reduced to a minimum. A Multi-Receiver-Vector-Tracking (MRVT) algorithm realizes the collaborative processing of all signals from all stations in this network. Within this advanced Tracking technique, a single Kalman Filter process the raw GNSS signals. The output of this algorithm are all PVT solutions from all stations. The main advantages of a MRVT algorithm are the improvement of reliability and robustness of the PVT solution. This innovative approach of GNSS networks open a variety of new applications and possibilities in the future.

The software was developed with a simulated IQ file from a signal simulator. First results from the software development will be presented and discussed within the paper.