Detection of GPS station position errors due to instrumentals and environmental effects - PowerPoint PPT Presentation

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Detection of GPS station position errors due to instrumentals and environmental effects

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Detection of GPS station position errors due to ... Alaska Volcano (AV04) 06/04/08. IGS ACWS TAH Errors. 24. Earth, Atmospheric and Planetary Sciences ... – PowerPoint PPT presentation

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Title: Detection of GPS station position errors due to instrumentals and environmental effects


1
Detection of GPS station position errors due to
instrumentals and environmental effects
  • Thomas Herring, tah_at_mit.edu,
  • Department of Earth Atmospheric and Planetary
    Sciences, MIT

2
Overview
  • Examine origin and diagnostics of systematic
    deviations in GPS time series due to instrumental
    and environmental effects (not monument
    stability)
  • Cases
  • Antenna failures
  • Environmental effects Snow but also growing
    vegetation.
  • Diagnostics
  • TEQC MP1 and MP2 Estimates of pseudorange
    multipath.
  • Signal to noise ratio
  • Phase residual RMS Scatter

3
Diagnostics
  • Pseudorange multipath at L1 and L2 MP1 and MP2
  • Difference between L1 and L2 pseudorange computed
    from L1 and L2 phase measurements
  • Values generated by TEQC using an algorithm that
    accounts for cycle slips and offset between phase
    and range.
  • Values shown are an RMS over the duration of the
    rinex file (24-hours)
  • Phase RMS scatter
  • RMS scatter of the ionospheric free phase
    residuals from post-processing.
  • Signal-to-noise ratio
  • Commonly available now in rinex files although
    quality is variable
  • Here we use an average value for the day
  • MP1/2 and SNR can be used before processing data.

4
Multipath diagnostic
  • Example of antenna failure
  • Site NDAP (Nucleus site)
  • Site had strong annual signal in north but not in
    height (rather strange if loading effect)
  • Effect of antenna change on position and
    multipath values
  • Example a LTUT (no MP1 in this case Should be
    available but is not?)

5
Site NDAP Site had shown annual signal in North
for a long period of time In July 2006, antenna
replaced.
6
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7
NDAP North/MP1
The MP1 values before antenna switch are
correlated with temperature. Old antenna had
failed patch element.
8
LTUT (another example)
Antenna change
9
SNR analysis
  • Many RINEX files now contain S1 and S2 and the
    units are now better defined
  • Analysis here
  • Fit elevation angle dependent model to SNR at L1
    and L2
  • Extract the fitted values at zenith and 20
    degrees elevation
  • Example on following slides

10
P708 near Yellowstone
Site notes indicate that so much snow during
visit that they could not get to monument
11
(No Transcript)
12
P708 L1 SNR (no snow)
13
P708 L1 SNR (snow)
Note Low elevations not that effected by snow
14
P708 L2 (no snow)
15
P708 L2 SNR (snow)
As average Use fit value at zenith
16
P708 Height and SNR
17
P708 Height/MP1 overlay
Generated online from interactive
plotshttp//pboweb.unavco.org/plotting/src/publi
c/gps_qc_soh_page.php?stationP708
East effects here
18
P708 East MP1
Jump in east detected in multipath RMS
19
P708 Height/Phase RMS
Phase RMS also catches early event but others
also.
20
Summary for snow events
  • Both SNR and MP1/2 work well as indicators of
    snow
  • Low elevation angle SNR may indicate horizontal
    position error (not tested)
  • Phase noise RMS has problems in that atmospheric
    noise that might not effect position very much
    can increase noise
  • SNR and MP1/2 can be computed before data
    analysis as a quality check.

21
Other examples
  • Cases generated using on-line tools at
    http//pboweb.unavco.org
  • Most of these are probably snow events (cases
    based on site visit notes and height of site)

22
P665
23
P665 North MP1
24
Alaska Volcano (AV04)
25
AV04 time series
26
AV04 Height and MP
MP1/2 indicates that most height signal due to
snow coverSome interesting hysteresis after snow
melt
27
Summary
  • Assessment of data quality through use of
    pseudorange multipath measures and SNR analysis
    looks promising. (Available for PBO sites at
    UNAVCO current UNAVCO summary files do not have
    enough significant digits.)
  • Detection of antenna problems and snow effects
    possible. Vegetation effects also probably can
    be detected.
  • Phase RMS scatter is probably not a good detector
    in that it can be disturbed by effects that dont
    greatly change the station positions.
  • Not discussed but needed Detection of sites with
    corrupt data and how these should be treated in
    archives. Important in re-processing so that
    station numbers are not wasted in bad sites
    (i.e., most ACs use fixed number of stations).
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