ML-powered cloud application for true real-time GNSS data analysis, anomaly detection and classification.

Advanced GNSS spoofing/jamming/interference detection, localization and logging.

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    Project description

    GP-Cloud All Charts for GNSS Signal Quality Estimation

    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.

    Enterprise-grade application

    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.

    3rd-Party Support

    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.

    Data Logging

    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.

    Try the Demo Version