Abstract

Real-time networks (RTNs) have become popular for global navigation satellite system (GNSS) surveys because highly accurate positions can be derived in seconds to a few minutes compared with the many minutes and hours required with postprocessed static sessions. To evaluate the accuracy of these shorter-duration RTN GNSS observations and their potential for use as a source for establishing geodetic control, data collected from two National Geodetic Survey (NGS) surveys in South Carolina and Oregon were studied in detail. This article explores the horizontal and vertical accuracy of real-time observations as a function of observation duration, examines the influence of the inclusion of Globalnaya Navigazionnaya Sputnikovaya Sistema (GLONASS) observables, compares results from real-time kinematic (RTK) positioning using a single base station versus a network of base stations, and assesses the effect of baseline length on accuracy. Thirty-eight passive marks were repeatedly observed with GNSS using a RTN in the two study areas for a variety of different observation times, ranging from 5 s to 15 min. An optimal real-time observation duration was found in the range of 180 to 300 s. The real-time data acquired using a network of base stations tended to be more accurate and precise than single-base RTK data, especially vertically. Further, the addition of GLONASS observables helped obtain more fixed solutions at longer baseline lengths than solutions based solely on global positioning system (GPS) observables and showed a slight improvement in accuracy, particularly for stations with poorer satellite visibility.

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Acknowledgments

The National Oceanic and Atmospheric Administration funded this research study by cooperative agreement via the Cooperative Institute for Marine Resources Studies (CIMRS), Award Number NA11OAR4320091. The authors appreciate Leica Geosystems and David Evans and Associates for providing hardware and software utilized in this study. Graduate student Brian Weaver also assisted with the data processing for this study. Oregon State University civil engineering students Michael Eddy, Marian Jamieson, Nathan Jones, and Tyler Wall assisted with the GNSS survey in Oregon. Mahyar Sharifi-Mood also assisted with code development and generating some of the plots. Drs. Jihye Park and Jim Kiser provided valuable feedback to the study. The lead author also acknowledges the support of the Oregon State University Laurels Block Grant and International Fellowship for providing additional financial assistance.

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Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 144Issue 2May 2018

History

Received: Mar 22, 2017
Accepted: Oct 31, 2017
Published online: Jan 10, 2018
Published in print: May 1, 2018
Discussion open until: Jun 10, 2018

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Mahsa Allahyari, S.M.ASCE [email protected]
Graduate Research Assistant, School of Civil and Construction Engineering, Oregon State Univ., 101 Kearney Hall, Corvallis, OR 97331 (corresponding author). E-mail: [email protected]
Michael J. Olsen, Ph.D., A.M.ASCE [email protected]
Associate Professor, School of Civil and Construction Engineering, Oregon State Univ., 101 Kearney Hall, Corvallis, OR 97331. E-mail: [email protected]
Daniel T. Gillins, Ph.D., M.ASCE [email protected]
P.L.S.
Geodesist, National Oceanic and Atmospheric Administration, National Geodetic Survey, 1315 East-West Highway, Silver Spring, MD 20910; formerly, Assistant Professor, School of Civil and Construction Engineering, Oregon State Univ., 101 Kearney Hall, Corvallis, OR 97331. E-mail: [email protected]
Michael L. Dennis, M.ASCE [email protected]
P.E.
L.S.
Geodesist, National Oceanic and Atmospheric Administration, National Geodetic Survey, 1315 East-West Highway, Silver Spring, MD 20910. E-mail: [email protected]

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