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RTK Systems

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FundamentalsFundamentals
Title RTK Systems
Author(s) See the Credits section
Level Basic
Year of Publication 2011
Logo GMV.png

There are DGNSS techniques used by high-precision navigation/surveying applications, based on the use of carrier phase measurements. This is the case of the Real Time Kinematics (RTK), where the differential GNSS measurements are computed in real-time by specific GNSS receivers if they receive a correction signal using a separate radio receiver. When referring to GPS in particular, the system is also commonly referred to as Carrier-Phase Enhancement, CPGPS.[1]

When using RTK dual-frequency systems the rover position accuracy is typically 1 centimeter ± 2 ppm (horizontal) and 2 centimeters ± 2 ppm (vertical) [2]. As it was seen in article RTK Fundamentals, this accuracy decreases if ambiguity resolution is not correctely solved, and this happens due to error decorrelation that increases proportionately with baseline distance. This decorrelation error can be of the order of one meter, contrary to other error sources ( atmospheric effects, multipath, orbit errors, or noise) that are of the order of several millimeters up to a few centimeters [2].


RTK Systems

Network RTK

When the RTK systems began to operate (around 2000), they used a single base station receiver and a number of mobile units. The base station re-broadcasts the phase of the carrier that it measured, and the mobile units compare their own phase measurements with the ones received from the base station,[1] following the RTK Standards.

This allows the mobile units to calculate their relative position to millimeters, although their absolute position is accurate only to the same accuracy as the position of the base station.[1]

According to H-J Euler:[3]

Over the last few years, permanent reference station installations have emerged in many countries. These installations allow for roving GPS users in the field to achieve centimetre accuracies without the need of setting up a GPS reference station on a known station.

This is quite appealing, since in areas with considerable GPS surveying activity, a number of users might share the infrastructure and the associated costs. Some of the installations are operated by companies and provide a service to the surveying community. Installations can be just single reference stations, a number of single reference stations, or networking reference stations. A single reference station set-up within up to 20-30 km is typically required if a user is operating in baseline mode. Otherwise the performance, accuracy, and with some systems the reliability of user's RTK is degraded.

The integration of several reference stations into a combined network provides benefits for the user by improving the accuracy and increasing the overall user system performance. For the reference station operator, networking reduces the number of stations that are needed to provide a given level of accuracy to the rover users. These permanent reference station networks are requiring real-time communication to a networking computation center and real-time estimation of biases between reference stations.

A key factor of success is the distribution of the information generated within the networking computation center to the roving user in the field. Some of the installations are relying on proprietary computation algorithms and possibly formats and restricting themselves with the field equipment. However, in general it is in the interest of service providers to supply the service for more than a single type of RTK field equipment. Therefore, the detailed understanding of the supplied information such as applied corrections or the way of processing is absolutely mandatory.

Today, installations are supplying the information basically in two ways: the so-called FKP-approach (FKP stands for the German word of spatial correction parameter) and the VRS approach (Virtual Reference Station). Both approaches deliver observations that are supposed to be operational with modern RTK equipment. However, as noted above, the ways the computational algorithms running at the networking computation center are proprietary. Optimal interoperability is not guaranteed, since the definition and an interface mechanism is missing. While the roving user equipment might work optimally with one vendor's networking software providing a service, it might have degraded performance with another vendor's software.

FKP[4] is property of Geo++ and VRS[5] of Trimble. According to Trimble, VRS is the network solution used in more than 95% of the installations.[5]

Credits

This article has been edited by GMV, including and adapting text from the following sources, as indicated with the corresponding references:

Notes


References