GNSS Anomalies Detection
Neural network-based algorithms can detect advanced synchronous GNSS spoofing attacks, jammers and other GNSS signals anomalies.
GNSS Quality Monitoring
GP-Cloud estimates time/position accuracy and calculates GNSS signal quality metrics for each constellation individually.
GPSPATRON team has applied the most advanced software tools for real-time operation under high-load. Each GP-Probe generates more than 1500MB every day.
The GP-Cloud supports 1-Hz GNSS data from RTK base stations or other GNSS probes\receivers using the RTCM, NMEA, Septentrio SBF protocols over NTRIP.
The GP-Cloud stores in the database dozens of parameters of all visible satellites: pseudorange, carrier phase, Doppler, residual, CN0, DOPs, satellite position, accuracy, quality, spoofing\jamming probability, etc.
Powerful API with documentation in Swagger allows you to integrate the solution in an existing infrastructure.