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  2. Real-time kinematic positioning - Wikipedia

    en.wikipedia.org/wiki/Real-time_kinematic...

    A surveyor uses a GNSS receiver with an RTK solution to accurately locate a parking stripe for a topographic survey. Real-time kinematic positioning (RTK) is the application of surveying to correct for common errors in current satellite navigation (GNSS) systems. [1]

  3. GNSS enhancement - Wikipedia

    en.wikipedia.org/wiki/GNSS_enhancement

    Real-time kinematic positioning (RTK) is another approach for a precise GPS-based positioning system. In this approach, the determination of the range signal can be resolved to a precision of less than 10 centimeters (4 in). This is done by resolving the number of cycles in which the signal is transmitted and received by the receiver.

  4. Networked Transport of RTCM via Internet Protocol - Wikipedia

    en.wikipedia.org/wiki/Networked_Transport_of...

    The Networked Transport of RTCM via Internet Protocol (NTRIP) is a protocol for streaming differential GPS (DGPS) corrections over the Internet for real-time kinematic positioning. NTRIP is a generic, stateless protocol based on the Hypertext Transfer Protocol HTTP/1.1 and is enhanced for GNSS data streams.

  5. SiReNT - Wikipedia

    en.wikipedia.org/wiki/SiReNT

    SiReNT offers 4 types of services, namely Post Processing (PP) On-Demand, Post Processing (PP) Archive, Real Time Kinematic (RTK) and low accuracy Differential Global Positioning System (DGPS) to suit different applications. In 2010, SiReNT introduced support for telematics and structural monitoring solutions.

  6. RTK - Wikipedia

    en.wikipedia.org/wiki/RTK

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file

  7. Fast Kalman filter - Wikipedia

    en.wikipedia.org/wiki/Fast_Kalman_filter

    The fast Kalman filter (FKF), devised by Antti Lange (born 1941), is an extension of the Helmert–Wolf blocking [1] (HWB) method from geodesy to safety-critical real-time applications of Kalman filtering (KF) such as GNSS navigation up to the centimeter-level of accuracy and satellite imaging of the Earth including atmospheric tomography.

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