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w6AAAYdAAAwKADAIBBBwAADDoAAGDQAQDAoAMAAAYdAAAMOgAAYNABAMCgAwAABh0AAAw6AABg0AEAwKADAAAGHQAADDoAAGDQAQAAgw4AAAYdAAAw6AAAYNABAACDDgAABh0AADDoAABg0AEAAIMOAAAGHQAAMOgAAGDQAQAAgw4AABh0AAAw6AAAgEEHAACDDgAAGHQAADDoAACAQQcAAIMOAAAYdAAAMOgAAIBBBwAAgw4AABh0AADAoAMAgEEHAAAMOgAAGHQAAMCgAwCAQQcAAAw6AAAYdAAAwKADAIBBBwAADDoAABh0AADAoAMAAAYdAAAMOgAAYNABAOAk5wLYe2Dg2oIAAAAASUVORK5CYII=)
578
Figure5.Change‐pointsdetectedinGPSheightpositioning
errorstimeseriesduringMarch,2015
4 DISCUSSIONANDCONCLUSION
Change‐point detection is a simple and elegant
statistics‐basedmethodfortimeseriesanalysis.Here
we argue that it may be utilised for a considerable
improvement of GNSS positioning error time‐series
analysisandanovelcontributioninGNSSpositioning
performance models and forecasts. It allows
for the
clearandaccuratedeterminationoftheonsetofGNSS
positioning performance degradation. The
methodology is based on the strict application of
statistics on experimental data in a form of time
series,andaddressesitsdynamicsonly.Comparison
with time series of supposed causes of GPS
positioning performance degradation
confirmed the
accuracyofchange‐pointdetection.
Traditionally, the onset of a critical GNSS
positioning performance event was determined
through cross‐correlation procedure involving,
combining (supposed) cause and (hopefully direct)
effect.Regretfully,correlationbetweenthesourcesof
space weather, geomagnetic and ionospheric
disturbances,andtheGNSSpositioningperformance
degradation (error dynamics)
is frequently weak, as
the result of a complex and non‐linear relationship
between descriptors of space weather, geomagnetic
andionosphericconditions,andtheGNSSpositioning
performance, respectively. This often results with
descriptionmodelsofmodestquality,andinabilityto
forecast correctly the GNSS positioning performance
response to space weather,
geomagnetic and
ionosphericdisturbances.
The change‐point detection methodology
presented here points clearly and accurately to the
instant of time when the GNSS positioning
performancestartstodeteriorate,usingtheanalysisof
statistical nature of time series dynamics. The
accuracy of the time onset estimation appears to be
related to the
number of expected change‐points (k,
Section 2), when Binary Segmentation method with
SchwarzInformationCriterionPenaltyisconsidered.
This problem is to be addressed by our team in
continuation of this research, with the aim of
development and deployment of a tailored
optimisationalgorithmforthekparameter
selection.
The opportunity for the change‐point detection
procedure application on a smoothed time series of
GPS northing, easting, and height positioning errors
time series was also discussed. While determination
ofchange‐pointswould gomoresmoothlyin sucha
case, information on the process under observation
maybelost,especially
inthecaseofshort‐termlocal
disruptions. We concluded that application of the
Binary Segmentation change‐point detection method
with Schwarz Information Criterion Penalty (Killick,
2016)withreducednumberofexpectedchange‐points
butappliedonoriginal(non‐smoothed)datasetwill
yield more accurate results, without missing or
incorrectly identified change‐points. The
methodology applied split the original data set into
sub‐setswithrelatedvariance,pointingouttoperiods
and data of anomalous behaviour of GNSS
positioning performance. Sub‐set formation in
consideration of local variance may be extended
further to analyses of the cause and result.
Overlapping
intervals of the same‐level variance in
different descriptors time series will allow
determination of the cause‐effect assessment more,
suchasinstudies(FilićandFiljar,2019)and(Filićand
Filjar, 2018) conducted earlier, more accurately and
efficiently.
Finally, the demonstration of the change‐point
detection methodology application on
GNSS
positioning error time series improves numerous
GNSSapplicationscenariosinvolvingpost‐processing
of GNSS observations, including, but not limited to:
science,GNSSerrormodellingandmitigation,GNSS
forensics(eventreconstruction),andactuarialscience.
We identified a potential for a significant
improvement of GNSS positioning performance
understanding, modelling and forecasting using
bespoke tuned change‐point detection methods
applied on time series of GNSS positioning error
components.
In summary, this manuscript presented the
change‐point detection methodology as a valuable
addition to the process of modelling GNSS
positioning performance, thus improving GNSS
positioningperformancemodels,andwideningspace
for the post‐processing
GNSS applications in
disciplinesandscenariosthatrequire knowledgeon,
and understanding of the GNSS positioning
performancedegradations.
ACKNOWLEDGEMENT
Authorsacknowledgepartialsupportoftheresearchfrom
the Research of environmental impact on the operation of
satellitenavigation systems in maritime navigation project
(Project Code: uniri‐tehnic‐18‐66), funded by University of
Rijeka,Rijeka,Croatia.
REFERENCE
Aminikhanghahi,S,Cook,D.(2017).ASurveyof methods
fortime series changepoint detection. Knowledge and
Information Systems, 51(2), 339‐367. Available at:
https://www.eecs.wsu.edu/~cook/pubs/kais16.2.pdf
Chandola, V, Vatsavai, R R. (2011). A Gaussian Process
Based Online Change Detection Algorithm for
MonitoringPeriodicTimeSeries.Procof the2011SIAM
International
Conference on Data Mining, 95‐106. Mesa,
AZ.