Comparison of Accuracy of Kinematic Methods for Localization of Mobile Targets

Robotic tacheometric survey of a moving target is characterized by a certain time shift, which is necessary to measure the distance and angles, during which the prism is constantly in motion. These observations, performed at different times, involve different target positions, which result in errors. In the case of RTK/RTN surveys, completely different sources of errors affect the quality of results. These include: signal propagation through the atmosphere, reflection of satellite signals, simplifications used in algorithms of linear models, data transmission in real time. The results of the surveys carried out using two different measurement techniques (terrestrial and satellite ones) were analyzed. The tests comparing the accuracy of the position determination of the moving target were carried out using robotic total stations (Leica Nova MS50 and Leica TCRA 1102+) and by RTK and RTN real-time satellite measurements (Leica GPS 1230 GG).

[1]  W. Stempfhuber,et al.  Genaue Positionierung von bewegten Objekten mit zielverfolgenden Tachymetern , 2000 .

[2]  W. Stempfhuber The Integration of Kinematic Measuring Sensors for Precision Farming System Calibration , 2001 .

[3]  Chris Rizos,et al.  Comparison of Interpolation Algorithms in Network‐Based GPS Techniques , 2003 .

[4]  Volker Janssen A comparison of the VRS and MAC principles for network RTK , 2009 .

[5]  V. Gikas,et al.  Full Scale Validation of Tracking Total Stations Using a Long Stroke Electrodynamic Shaker , 2006 .

[6]  Oliver Zelzer,et al.  The Relationship Between Network RTK Solutions MAC, VRS, PRS, FKP and i-MAX , 2008 .

[7]  C. Rizos,et al.  Reference station network based RTK systems-concepts and progress , 2003, Wuhan University Journal of Natural Sciences.

[8]  Werner Lienhart,et al.  Synchronization routine for real-time synchronization of robotic total stations , 2017 .

[9]  Dorota A. Grejner-Brzezinska,et al.  Robust Analysis of Network-Based Real-Time Kinematic for GNSS-Derived Heights , 2015, Sensors.

[10]  Xiaoming Chen,et al.  Network RTK Versus Single Base RTK - Understanding the Error Characteristics , 2002 .

[11]  T. Moore,et al.  Quality assessment of a network-based RTK GPS service in the UK , 2009 .

[12]  Gerhard Wübbena,et al.  Study of a Simplified Approach in Utilizing Information from Permanent Reference Station Arrays , 2001 .

[13]  José Ramón Rodríguez Pérez,et al.  Comparison of GPS receiver accuracy and precision in forest environments. Practical recommendations regarding methods and receiver selection , 2006 .

[14]  Werner Lienhart,et al.  Impact of Prism Type and Prism Orientation on the Accuracy of Automated Total Station Measurements , 2016 .

[15]  Jon Glenn Omholt Gjevestad,et al.  Next generation network real-time kinematic interpolation segment to improve the user accuracy , 2015 .

[16]  Werner Lienhart,et al.  High frequent total station measurements for the monitoring of bridge vibrations , 2017 .

[17]  Peter J. Clarke,et al.  An Examination of Network RTK GPS Services in Great Britain , 2010 .

[18]  Gerhard Wübbena,et al.  Reducing Distance Dependent Errors for Real-Time Precise DGPS Applications by Establishing Reference Station Networks , 1996 .

[19]  Daniel Nindl,et al.  Surveying Reflectors-White Paper Characteristics and Influences , 2010 .