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contributor authorAllahyari Mahsa;Olsen Michael J.;Gillins Daniel T.;Dennis Michael L.
date accessioned2019-02-26T07:47:49Z
date available2019-02-26T07:47:49Z
date issued2018
identifier other%28ASCE%29SU.1943-5428.0000249.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4249462
description abstractReal-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 18 to 3 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.
publisherAmerican Society of Civil Engineers
titleTale of Two RTNs: Rigorous Evaluation of Real-Time Network GNSS Observations
typeJournal Paper
journal volume144
journal issue2
journal titleJournal of Surveying Engineering
identifier doi10.1061/(ASCE)SU.1943-5428.0000249
page5018001
treeJournal of Surveying Engineering:;2018:;Volume ( 144 ):;issue: 002
contenttypeFulltext


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