Lecture5-Error Sources and Position Estimation-1
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Transcript of Lecture5-Error Sources and Position Estimation-1
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7/27/2019 Lecture5-Error Sources and Position Estimation-1
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Satellite Navigation (AE4E08) Lecture 4
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Satellite Navigation
error sources and position estimation
AE4E08
Sandra Verhagen
Course 2010 2011, lecture 5
Picture: ESA
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Todays topics
Recap: GPS measurements and error sources
Satellite clock and ephemeris
Assignments VISUAL and RINEX
Signal propagation errors: ionosphere and troposphere
Book: Sections 5.2 5.3
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Recap: Code and Carrier Phase
measurements
( ) s
ur I T c t t A
= + + + + +
sur I T c t t = + + + +
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Recap: error sources
satellite:
orbit
clock
instrumental delays
signal path
ionosphere
troposphere
multipath
receiver
clock
instrumental delays
other
spoofing
interference
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Satellite clock and ephemeris
determined by Control Segment based on measurements
parameters in navigation message
Kalman filter prediction
positions and velocities of satellites
phase bias, frequency bias, frequency drift rate clocksprediction errors (grow with age of data)
Currently, ranging error < 3 meter rms
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Satellite clock and ephemeris
Ephemeris: radial , along-track , cross-track errors.Which is of the three is principal error source?
radial error
along-track erro
cross-track error
predicted orbit
true orbit
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Satellite clock and ephemeris
Satellite clock correction:
reference epoch
clock offset [s] ~1 s 1 ms
fractional frequency offset [s/s] ~10 -11 s/s
fractional frequency drift [s/s 2] ~0 s/s 2
relativistic correction
r c f c f f s s t t t at t aat t t +++== 202010 )()(
0 f a
1 f a
2 f a
ct 0
r t
broadcast withnavigationmessage
Misra and Enge,Section 4.2.4
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Signal propagation errors
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Earth
ionosphere
troposphere
40
1,000
20,000
h e i g h t [ k m ]
Above ~1,000 km: vacuumspeed of light c
~ 50 1,000 km: ionosphere Below 40 km: troposphere
Atmosphere =ionosphere + troposphere
Atmosphere changes speed anddirection of propagation
refraction
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Signal propagation errors
Refractive index of a medium:
Refractive index changes along path
Change in speed change in travel time of signal
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vcn =
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Signal propagation errors
Refractive index of a medium:
Snells law: changing refractive index results in bending of pathpath longer than geometrical straight line
Fermats principle of least time:transit time along curved path is shorter than for straight-line path
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vcn =
effect very small
1n
2n 2
1 1 1 2 2sin sinn n =
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Signal propagation errors
Refractive index of a medium:
Refractive index changes along path:
Change in speed change in travel time of signal
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vcn =
1
( )
R
S n l dl c =
( )n l
dl
S
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Signal propagation errors
Refractive index of a medium:
Refractive index changes along path:
Change in speed change in travel time of signal
Excess delay:
12
vcn =
1
( )
R
S n l dl c =
1 ( ) R R
S S
n l dl dl c
=
( )n l
dl
S
[ ]( ) 1 R
S
n l dl =
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Signal propagation errors: ionosphere
Dispersive medium: refractive index depends on frequency of
signal For GPS (L-band) signals: ionosphere is dispersive ,
troposphere is not In dispersive medium: different phase (carrier) and group (code)
velocities, and , resp.
p p
cn v=
p g p g
dncn n f v df = = +
pv g v modulated carrier wavesuperposition of a
group of waves ofdifferent frequencies
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Signal propagation errors: ionosphere
ionosphere contains free electrons and ions
ionization caused by suns radiation state depends on solaractivity
temporal variations: during the day, peak at 2 PM local time day to day due to solar activity, geomagnetic disturbances seasonal 11-year solar cycle
local short term effects due to traveling ionosphericdisturbances
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Signal propagation errors: ionosphere
propagation speed depends on total electron content (TEC) =
number of electrons in tube of 1 m2
from receiver to satellite
with the electron density along the path
1 TECU (TEC Unit) = 10 16 electrons / m 2
VTEC = TEC in vertical direction [in book TECV]
( ) R
e
S
n l dl = TEC
( )en l
[TECU]
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Global map of TEC (computed from global network of GPS receivers)
Figure from S.M. Radicella ARPL; Data Astronomical Institute University of Berne
Signal propagation errors: ionosphere
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Signal propagation errors: ionosphere
highest ionospheric delay within 20 o of magnetic equator
solar flaresmagnetic stormslarge and quickly varying electron densities, esp. polar regionsrapid fluctuations in phase and amplitude of GPS signals,called scintillation and fading , resp.may cause losses of lock
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Signal propagation errors: ionosphere
phase advance
2
40.31 e p
p
ncn
v f =
( )
2 2
1( ) 1
40.3 ( )1 40.3
R
p pS
Re
S
n l dl c
n l dl
c f cf
=
= =
EC
( ) R
e
S
n l dl = TEC
2
40.3 p I c f
= = EC [m]
[s]
( ) s
ur I T c t t A
= + + + + +
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Signal propagation errors: ionosphere
group delay
2
40.31 p e g p
dn nn n f
df f
= + = +
2
40.3 g I c
f
= = EC [m] s
ur I T c t t = + + + +
I I I = =
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Earth
ionosphere
IP
I h
R
sinsin I E
E
h R R
+=
IP : ionospheric pierce point: mean ionosphere height I h
1( )cos z
I
=
Signal propagation errors: ionosphere
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Signal propagation errors: ionosphere
obliquity factor1
cos
zenith angle
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Signal propagation errors: ionosphere
zenith delay mid-latitudes:
1-3 m at night
5-15 m mid-afternoon
peak solar cycle near equator:
max. ~36 m
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Signal propagation errors: ionosphere
1 21
40.3 EC L
L
I f
= 2 2
2
40.3 EC L
L
I f
=
Li
s Li Li ur I T c t t = + + + +
1 2 C s
L L ua b r T c t t = + + +
ionosphere-free combination:
21
122
L L
L
f I
f =
bias removed;noise increased
IF =
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Signal propagation errors: ionosphere
Klobuchar model
andbroadcasted with
navigation message
~50% reductionRMS range error
421 A
2
localtime [h]
2 4
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NeQuick model (proposed for Galileo)
3-D electron density model
One location dependent input parameter ( Az )
Az
is given for Galileo in broadcast message
Slant-TEC is compute by numerical integration along line-of-
sight
Compute corrections from IGS Global Ionosphere Maps (GIM)
2-D grid of VTEC (2.5 o latitude x 5 o longitude @ 2 hours)
Interpolate VTEC to ionospheric point at time of observation
Map VTEC to slant direction using mapping function
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Signal propagation errors: ionosphere
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Signal propagation errors: troposphere
9 km (poles) 16 km (equator)
Dry gases and water vapor
Recall: non-dispersive, i.e. refraction does not depend on frequency
Propagation speed lower than in free space:apparent range is longer (~2.5 25 m)
Same phase and group velocities
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T T T T T L L L L ==== 2121
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Signal propagation errors: troposphere
Refractivity
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610)1( = n N
[ ] wd wd wd
T T dl l N l N dl l N T
N N N
+=+==
+=
)()(10)(10 66
251073.3
64.77
T e
N
T P
N
w
d
e
T P : total pressure [mbar]
: temperature [K]
: partial pressure water vapor [mbar]
if known refractivity known
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29
w z wd z d T el mT el mT ,, *)(*)( +=
computedhydrostaticdelay
mapping functions
Unknowntroposphericzenith wet delay
tropospheric delay
Figure: H. van der Marel
Signal propagation errors: troposphere
Earth
Receiver
Satellite
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Signal propagation errors: troposphere
Saastamoinen model :zenith dry and wet delays calculated from temperature, pressure andhumidity (measurements or standard atmosphere), height andlatitude
Hopfield model :dry and wet refractivities calculated
Dry delay in zenith direction 2.3 2.6 m at sea levelcan be predicted with accuracy of few mms
Wet delay depends on water vapor profile along path, 0 80 cmaccuracy of models few cms
If no actual meteorological observations available (standardatmosphere applied): total zenith delay error 5 10 cm
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Signal propagation errors: summary
ionosphere troposphere
height 50 1000 km 0 16 km
variability diurnal, seasonal, solarcycle (11 yr), solar flares
low
zenith delay meters tens of meters 2.3 2.6 m (sea level)
obliquity factor
30 o
15 o3o
1.8
2.53
2
410
modeling error (zenith) 1 - >10 m 5 10 cm (no met. data)
dispersive yes noall values are approximate, depending onlocation and circumstances
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Signal propagation errors
Homework exercise:
make plots of the different mapping functions (page173 Misra and Enge) as function of the elevation angle(ranging from 0 90 o)
compare them with each other AND with the obliquityfactor of the ionosphere delay (slide 22)
try to explain the differences
more details: see assignment on blackboard
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Summary and outlook
GPS measurements and error sources
Next:Position, Velocity and Time (PVT) estimation
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