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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]
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.
Long Range Kinematic (LRK) technology is a sophisticated kinematic method developed by Magellan (formerly Thales) Navigation that optimises the advantages of dual-frequency GPS operation. Other conventional methods use the dual-frequency only during initialisation .
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.
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. [1]
Satellite navigation solution for the receiver's position (geopositioning) involves an algorithm.In essence, a GNSS receiver measures the transmitting time of GNSS signals emitted from four or more GNSS satellites (giving the pseudorange) and these measurements are used to obtain its position (i.e., spatial coordinates) and reception time.
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