characterization of multipath propagation effects in gnss ...€¦ · 1. multipath effects can be...
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Characterization of multipath propagation effects in GNSS observables
Marios Smyrnaios
(IfE)
Doktorandenseminar
Fachrichtung Geodäsie und Geoinformatik
Leibniz Universität Hannover
23.01.2015
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Overview
• Introduction
• Multipath effects and signal processing
• Multipath effetcs in the GNSS observables
• Multipath modelling
• Simulations – Measurement campaign
• Conclusion
Smyrnaios: Doktorandenseminar GuG 23.01.2015
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Introduction
• Carrier phase error
• Code phase error
• C/N0 amplitude variations
Multipath errors occurs when the received signal is
composed by more than the direct component
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Multipath – Overview
Code
Measurements
dm-m
Up to 100 m
Mitigation
possible
only for long
delay MPCs
(e.g. < 30 m)
Phase
Measurements
cm-mm
Up to 4.5 cm (L1)
Multipath contamination depends on:
• Antenna Location and Environment
• Material Properties of the Reflectors
• Weather Conditions
• Geometry of MPCs
• Antenna Characteristics
• Receiver Characteristics
• Signal Characteristics
• Multipath effects can be considered as an interference
problem of GNSS signal with delayed replicas of itself
Smyrnaios: Doktorandenseminar GuG 23.01.2015
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Tracking a Compound Signal (1)
-1 1 0
1
0.5 0.5 -1 1 0 0.5 0.5
P
E L
• P : Phase, SNR
• E-L: Time delay (code) P
L E
Line-of-Sight Compound
Line-of-Sight
Multipath
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E-L Discriminator (code error)
e.g. Code Tracking Error = 0.15 [chip] = 45 [m]
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Arctan Discriminator (phase error)
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Multipath Effects in Receiver Level (1) (Experimental Set-up)
antenna
splitter
DC blocker
Leica
Javad
Nord Nav
Leica
Javad
~13 m
IF data pocessing:
• Nord Nav firmware
• Developed matlab-based software receiver modules for C/N0
estimators and carrier phase tracking
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Multipath Effects in Receiver Level (2) (Carrier Phase: High Resolution Correlator )
The HRC was implemented only for Phase Tracking
Prompt Correlator
HRC Correlator
Drawback
• Reduction of Signal Strength (1/20 of the original Peak)
• Tracking Problems
• Phase and Code observation Quality degradation
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Multipath Effects in Receiver Level (3) (C/N0 estimation algorithm vs Tracking Parameters)
T=1msec, rate=0,5 sec T=5msec, rate=0,5 sec T=10msec, rate=0,5 sec
T=10msec, rate=4sec T=5msec, rate=4 sec T=1msec, rate=4 sec
Variance Summing estimator (1 hour IF data set)
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Multipath Effects in Receiver Level (4) (C/N0 estimation algorithm - Comparison)
Nord Nav R30
vs
Power Ratio
estimator
vs
Variance
Summing
estimator
vs
Squaring
estimator
vs
Differential
estimator • Different noise impact
• Slightly different trends
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Multipath Effects in the Observables (1) (Sidereal Repeatability – Different Receivers)
• Individual Sidereal Repeatability
• Different trends between different receivers
• Multipath effect repeat after one sidereal day
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Multipath Effects in the Observables (2) (Multipath Characterization of Pseudo-Satellites)
SEA GATE area in Rostock harbor is the marine Galileo test infrastructure
consisting of three segments:
1. Nine Pseudolites
2. Two reference stations
3. User Segment
Characterization of the multipath
contamination of the reference
stations of the SEA GATE
enviroment
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• PSL5 and PSL4 show high
Multipath contamination
• Afternoon hours multipath
effects are not so frequently
present in the Data Sets
Multipath Effects in the Observables (3) (Multipath Characterization of Pseudo-Satellites)
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Multipath Effects in the Observables (4) (Multipath effects in PPP residuals)
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Multipath Effects in the Observables (5) (Indoor Scenario – Experiment set-up)
Ublox
Receivers
Splitters
Dual Front-end
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RHCP: Day1 and Day 2 LHCP: Day1 and Day 2
Multipath Effects in the Observables (5) (Indoor Scenario – Sidereal rep. of Fadding)
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RHCP Antenna
Weighting RMS dX [m] RMS dY [m] RMS dZ [m]
Identity 10.91 9.98 19.94
Elevation
(cos)
12.17 12.00 20.60
Elevation
(cos^2)
15.08 14.25 24.25
C/N0 10.06 9.25 18.49
LHCP Antenna
Weighting RMS dX [m] RMS dY [m] RMS dZ [m]
Identity 10.89 9.59 17.46
Elevation
(cos)
12.74 10.20 19.86
Elevation
(cos^2)
16.57 11.07 24.70
C/N0 10.23 9.06 15.97
Multipath Effects in the Observables (5) (Indoor Scenario – SPP solution)
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Part 1: Outlook (GNSS Signal Processing)
• Signal Processing: 1. Modification of the tracking modules of the Borre et.al. Software
receiver in order to correlate longer signal snapshot (e.g. 2, 5, 10, 20
ms).
2. Impelemtation of different discriminators for carrier-phase tracking.
3. Implementation of advanced correlators (HRC) for multipath mitigation
purpuses.
4. Implementation of different C/N0 estimation algorithms in software
receiver.
• Results Showed: 1. Filter out long delay MPCs
2. No improvement for short delay MPCs (< 30 m)
3. Increase processing capacity (HRC)
4. Decreace signal quality (HRC)
5. Power Ratio estimator and Variance Summing estimator C/N0 algorithms
give noiser observations
6. Usage of longer signal snapshots results in better signal quality
7. Longer average periods filter out noise
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Part 1: Outlook (GNSS Data Analysis)
• Data Analysis: 1. Multipath effects can be identified in C/N0 , DD (of a short baseline), residuals .
2. Calculate the exact sidereal repetability time of individuals PRNs and of
multipath efects (C/N0).
3. Residual analysis of PSL observations and characterization of SEA GATE
enviroment in terms of multipath contamination (C1).
4. PPP residulal analysis of a reference station in Wettzell (L1 in progress...).
5. Characterization of indoor fadding behavior with dual polarized antenna and the
use of different weighting schemes (Positioning).
• Results Showed: 1. Different receivers same multipath contamination (short delay multipath).
2. Repeatability of multipath effects due to the repetability of the satellite orbits.
3. Each satellite has a unique repetition period (few seconds difference).
4. Obstructions of the line-of-sight at several epoch in the region enclosed by RS1,
RS2, PSL 4 and PSL 5 (a lot of moving reflectors in the region!).
5. Afternoon hours (e.g. 18:00 local time) the before mentioned effects are not so
frequently present in the data sets.
6. Fading behavior from the different antenna outputs is uncorrelated.
7. Potential use for different antenna diversity schemes (e.g. polarization diversity)
with different combining algorithms.
8. C/N0 based weighting improves the indoor positioning accuracy.
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Part 2
Development of a Generalized Multipath Model
-1 1 0
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Multipath errors in the Observation domains are characterized as functions of:
• Multipath Relative Phase w.r.t. LOS ΔΦ (geometry)
• Multipath Relative Amplitude w.r.t. LOS α (Not directly accessible)
Multipath Modeling: Basic Considerations
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Multipath Modeling: GNSS Signal Amplitude
LOS Signal:
RHCP
Reflected Signal:
Partially RHCP
Partially LHCP
Receiving Antenna
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Multipath Modeling - Simulations (1) (Phase error)
• Geometry (Height above the Reflector)
• Carrier frequency
• Reflector (Material Properties)
• Antenna (Gain Pattern)
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Multipath Modeling - Simulations (2) (Phase error)
• Geometry (Height above the Reflector)
• Carrier frequency
• Reflector (Material Properties)
• Antenna (Gain Pattern)
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Multipath Modeling - Simulations (3) (Phase error)
• Geometry (Height above the Reflector)
• Carrier frequency
• Reflector (Material Properties)
• Antenna (Gain Pattern)
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Multipath Modeling - Simulations (4) (Phase error – Relative Amplitude)
• Geometry (Height above the Reflector)
• Carrier frequency
• Reflector (Material Properties)
• Antenna (Gain Pattern)
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Multipath Modeling - Simulations (5) (Phase error)
• Geometry (Height above the Reflector)
• Carrier frequency
• Reflector (Material Properties)
• Antenna (Gain Pattern)
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Multipath Modeling Controlled Experiment
21.3 m
PTB antenna test facility in
Braunschweig
• Antennas with different height
• Antennas spaced 21.3 m
• Observational period about 7 hours
• Cut- off angle of 0°
• Data rate was 1 Hz.
• One pair of AX1202GG Leica antennas
• One pair LEICA GRX1200+GNSS
receivers.
A2 A1
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Multipath Modeling C/N0 – Observed vs Simulated
Smyrnaios: Doktorandenseminar GuG 23.01.2015
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Multipath Modeling DD Phase error – Observed vs Simulated
Smyrnaios: Doktorandenseminar GuG 23.01.2015
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Multipath Modeling Horizontal vs Tilted Reflector
Smyrnaios: Doktorandenseminar GuG 23.01.2015
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Multipath Modeling Observed vs Simulated phase-DD
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Thank You!
Smyrnaios: Doktorandenseminar GuG 23.01.2015
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