Simulation of GNSS reflected signals and estimation of position accuracy in GNSS-challenged environment

Jakob Jakobsen, Anna B. O. Jensen, Allan Aasbjerg Nielsen

AbstractThe paper describes the development and testing of a simulation tool, called QualiSIM. The tool estimates GNSS-based position accuracy based on a simulation of the environment surrounding the GNSS antenna, with a special focus on city-scape environments with large amounts of signal reflections from non-line-of-sight satellites. The signal reflections are implemented using the extended geometric path length of the signal path caused by reflections from the surrounding buildings. Based on real GPS satellite positions, simulated Galileo satellite positions, models of atmospheric effect on the satellite signals, designs of representative environments e.g. urban and rural scenarios, and a method to simulate reflection of satellite signals within the environment we are able to estimate the position accuracy given several prerequisites as described in the paper. The result is a modelling of the signal path from satellite to receiver, the satellite availability, the extended pseudoranges caused by signal reflection, and an estimate of the position accuracy based on a least squares adjustment of the extended pseudoranges. The paper describes the models and algorithms used and a verification test where the results of QualiSIM are compared with results from collection of real GPS data in an environment with much signal reflection.
KeywordsGlobal navigation satellite system; navigation; non-line of sight; position accuracy; reflected signals; simulation
TypeJournal paper [With referee]
JournalJournal of Geodetic Science
Year2015    Vol. 5    pp. 47-56
PublisherDe Gruyter Open
NoteDOI: 10.1515/jogs-2015-0006. See also my lecture note: Least Squares Adjustment: Linear and Nonlinear Weighted Regression Analysis, URL http://www.imm.dtu.dk/pubdb/p.php?2804.
Electronic version(s)[pdf]
Publication linkhttp://www.degruyter.com/view/j/jogs.2015.5.issue-1/jogs-2015-0006/jogs-2015-0006.xml?format=INT
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics