Integrity determination of RTK solutions in precision farming applications

Wang, Jun & Feng, Yanming (2009) Integrity determination of RTK solutions in precision farming applications. In Ostendorf, B., Baldock, P., Bruce, D., Burdett, M., & Corcoran, P. (Eds.) Proceedings of the Surveying and Spatial Sciences Institute Biennial International Conference 2009, Surveying and Spatial Sciences Institute, Adelaide Convention Centre, Adelaide, South Australia, pp. 1277-1291.

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Integrity of Real Time Kinematic (RTK) positioning solutions relates to the confidential level that can be placed in the information provided by the RTK system. It includes the ability of the RTK system to provide timely valid warnings to users when the system must not be used for the intended operation. For instance, in the controlled traffic farming (CTF) system that controls traffic separates wheel beds and root beds, RTK positioning error causes overlap and increases the amount of soil compaction. The RTK system’s integrity capacity can inform users when the actual positional errors of the RTK solutions have exceeded Horizontal Protection Levels (HPL) within a certain Time-To-Alert (TTA) at a given Integrity Risk (IR). The later is defined as the probability that the system claims its normal operational status while actually being in an abnormal status, e.g., the ambiguities being incorrectly fixed and positional errors having exceeded the HPL. The paper studies the required positioning performance (RPP) of GPS positioning system for PA applications such as a CTF system, according to literature review and survey conducted among a number of farming companies. The HPL and IR are derived from these RPP parameters. A RTK-specific rover autonomous integrity monitoring (RAIM) algorithm is developed to determine the system integrity according to real time outputs, such as residual square sum (RSS), HDOP values. A two-station baseline data set is analyzed to demonstrate the concept of RTK integrity and assess the RTK solution continuity, missed detection probability and false alarm probability.

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ID Code: 31006
Item Type: Conference Paper
Refereed: No
Additional URLs:
ISBN: 9780958136686
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2009 [please consult the authors]
Deposited On: 18 Feb 2010 21:59
Last Modified: 09 Jun 2010 14:22

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