You are in: Home » Publications » Reports » Report 23
On the Randomization of GNSS Solutions
Y.M. Zanimonskiy
E-mail: yevgen@online.kharkiv.com, yzan@poczta.onet.pl
Abstract
Time series of GNSS solutions are quite specific. The variations in
it have a complex structure. Besides a random part they contain
also components of a chaotic
character as well as biases. Models errors, non-modelled
effects and varying satellites configuration cause systematic variations
in GPS solutions. The analysis
of such time series indicates the existence of a number of
periodic components
and trends that are not modelled in data processing stage.
In particular, periodic variations with dominating 12h and 24h periods
are distinguished. Numerous changes
(jerks) in satellite configuration occur with a period of
one sidereal
day. They cause specific variations in time series of the
components of computed vectors
from GPS data. Variations in such a time series correspond
rather to a chaotic process then a random one. Jerks can be suppressed
by optimising the length of
overlapping sessions and eliminating the disturbing results.
In this study a new method of suppressing the variations
in GNSS solution due to changes in satellite configuration is presented.
This realization of
bootstrap
method have been adapted to GNSS software.
About Acrobat/PDF files