An open source GPS multipath simulator in Matlab/Octave - by Felipe G. Nievinski and
Kristine M. Larson
The technical paper which describes this code is published in:
GPS Solutions, July 2014, Volume 18, Issue 3, pp 473-481. DOI 10.1007/s10291-014-0370-z,
" An open source GPS multipath simulator in Matlab/Octave"
Felipe G. Nievinski,
Departamento de Cartografia, Faculdade de Ciencias e
Tecnologia, Universidade Estadual Paulista Julio de Mesquita
Filho, Presidente Prudente, SP, Brazil.
E-mail: fgnievinski@gmail.com
K.M. Larson, Department of Aerospace Engineering Sciences, University of Colorado, Boulder, Colorado, USA.
Abstract: Multipath is detrimental for both GPS positioning
and timing applications. However, the benefits of
GPS multipath for reflectometry have become increasingly
clear for monitoring soil moisture, snow depth, and vegetation
growth. In positioning applications, a simulator can
support multipath mitigation efforts in terms of, e.g., site
selection, antenna design, receiver performance assessment,
and in relating different observations to a common
parameterization. For reflectometry, in order to convert
observed multipath parameters into useable environmental
products, it is important to be able to explicitly link the
GPS observables to known characteristics of the GPS
receiver/antenna and the reflecting environment. Existing
GPS multipath software simulators are generally not
readily available for the general scientific community to
use and/or modify. Here, a simulator has been implemented
in Matlab/Octave and is made available as open source
code. It can produce signal-to-noise ratio, carrier phase,
and code pseudorange observables, based on L1 and L2
carrier frequencies and C/A, P(Y), and L2C modulations. It
couples different surface and antenna types with due consideration
for polarization and coherence. In addition to
offering predefined material types (water, concrete, soil,
etc.), it allows certain dimensional properties to be varied,
such as soil moisture and snow density.
The *.zip file linked below includes both the simulator
software library and the driver scripts used to generate all
of the figures in the paper.
https://github.com/fgnievinski/mpsim/zipball/master
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