virtual reference stations (vrs) (rtn)gsi japan - 21st of june 1999 virtual reference stations (vrs)...
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GSI Japan - 21st of June 1999
Virtual Reference Stations(VRS) (RTN)
Presentad By Michael WoodelVice President Survey Division
California Survey and Drafting SupplyWWW.CSDSINC.COM
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Overview
Why VRS/RTN ?The Concept of Virtual Reference StationsA typical network setup Required HardwareData communicationVRS Performance
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Classical RTK Surveying
Local reference station requiredError growth with baseline lengthRover/Reference distance is limited due to error growth Reliability and Performance decrease with distancefrom reference
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Limitations of Classical RTK Surveying
Limited range from single reference stationPotential gross error in establishing reference stationNo integrity monitoringDependency on single reference stationProductivity lossCoordinate System SecurityCommunications FCCPower supply
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Classic RTK Example
Photo courtesy of Corbis.com
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VRS - How does it work?Uses observations from multiple reference stationsContinuously monitors integrity of reference station dataModels systematic errors including:
ionospheretropospheresatellite orbit errorsmultipath
Creates a unique virtual reference station for each user’s locationDelivers the data in RTCM or CMR+ format to the rover
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GPS PositioningFour distance measurements are needed to determine position and time
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GPS Signals
Troposphere and Ionosphere affect signals
Ionosphere
Troposphere
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GPS Signals
TroposphereRegion of atmosphere where weather occurs (up to 50-80 km altitude)Wet and Dry component Varies largely based on water vapor content in the atmosphereFrequency independentAffects GPS heights
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GPS SignalsIonosphere
Region of atmosphere 50-1000 km filled with charged particlesCreates non-linear dispersion of electromagnetic signals (frequency dependent)Varies substantially based on sunspot activity, solar flares, latitude and time of day and elevation of the satellite signal
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GPS Signals
Variable signal paths and piercing points
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Satellite-Receiver Double Differences
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What do we do about the differential Iono and Tropo errors?
Keep distances between base and rover short.Assume that the remaining errors are the same at both base and roverGreater the distance is, the less likely this assumption is to be valid
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What do we do about the differential Iono and Tropo errors?
Model the iono and tropo Using observations from known stations, create a model of the biasesConcept used for creating the broadcast models for the tracking segment of GPSConcept used for FAA WAAS Augmentation system on a national levelVRS Concept
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Why use VRS/RTN™ ?
Extended operating range with improved initialisation and accuracyIncreased productivityEliminates need to establish reference station
Set-up, power, physical security become non-issues
Provides integrity monitoringAll users in common, established coordinate frameEliminates dependency on single reference stationUses established communications
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ReferenceStation
ReferenceStation
ReferenceStation
ReferenceStation
Raw Data
GPSNetwork Router
Data Flow in Network using digital cell phone
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ReferenceStation
ReferenceStation
ReferenceStation
ReferenceStation
Raw Data
GPSNetwork Router
Rover
Data Flow in the Network
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ReferenceStation
ReferenceStation
ReferenceStation
ReferenceStation
Raw Data
GPSNetwork Router
NMEA Position
Data Flow in the Network
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ReferenceStation
ReferenceStation
ReferenceStation
ReferenceStation
Raw Data
GPSNetwork Router
NMEA Position
Data Flow in the Network
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ReferenceStation
ReferenceStation
ReferenceStation
ReferenceStation
Raw Data
GPSNetwork Router
Virtual Ref.Station
CMR+ / RTCM
NMEA Position
Data Flow in the Network
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VRS Data Flow
Reference station data streams back to server through LAN, Internet, or radio links
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VRS Data FlowRoving receiver sends an NMEA string back to server using cellular modem. Virtual Reference Station position is established.
NMEA—GGA
VRS
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VRS Data FlowServer uses VRS position to create corrected observables and broadcasts them to the rover
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VRS Data Flow
Rover surveying in normal RTK mode but data is relative to the VRS
VRS
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CSVSN Coverage Map
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Full Time Monitoring - 24/7/365
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Online Helpdesk
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Real-Time Test Setup in the Network
Operation of rover (32 km from the nearest reference station) After each fix the RTK system outputs position data for 30 secondsAfter that the RTK system initializes the ambiguity search again, no data from the past is usedAll position output is stored on an extra PC and analyzed statistically
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VRS Performance Analysis
Ref 3
Ref 1
70 km
Ref 2 Ref 4Rover
- 90 hours day/night - Rover 32 km from Ref 3
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Error in North – 32 km Baseline
0
1000
2000
3000
4000
5000
6000
Num
ber o
f Pos
tions
-50 -40 -30 -20 -10 0 10 20 30 40 50Error [mm]
Confidence Level90 %: < 13 mm99 %: < 26 mm
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Error in East – 32 km Baseline
0100020003000400050006000700080009000
Num
ber o
f Pos
ition
s
-50 -40 -30 -20 -10 0 10 20 30 40 50Error [mm]
Confidence Level90 %: < 9 mm99 %: < 21 mm
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Error in Height – 32 km Baseline
0
500
1000
1500
2000
2500
3000
Num
ber o
f Pos
ition
s
-50 -40 -30 -20 -10 0 10 20 30 40 50Error [mm]
Confidence Level90 %: < 25 mm99 %: < 49 mm
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RTK Initialization – 32 km Baseline
0
2
4
6
8
10
12
Perc
ent
0 20 40 60 80 100 120 140 160 180 200Initialisation Time [sec]
Performance
50 %: < 40 sec90 %: < 80 secaverage: 58 sec
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Initialisation Times in the SAPOS Network
0
50
100
150
200
250
15.0 45.0 75.0 105.0 135.0 165.0 195.0 230.0 260.0 290.0 325.0
Performance
516 InitialisationsAverage: 57 Sec.
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Advantages of VRS/RTN™
Extended operating range with improved initialisation and accuracyIncreased productivityEliminates need to establish reference station
Set-up, power, physical security become non-issues
Provides integrity monitoringAll users in common, established coordinate frameEliminates dependency on single reference stationUses established communications Cellular data
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GPS Deformation MonitoringPurpose:
To monitor and model the movement of man made and natural structures to prevent and warn against potential catastrophes using GPS and integrated sensors.To monitor the integrity of high order geodetic networks
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GPS Deformation MonitoringTarget Markets
Oilfield SubsidenceDam deformation monitoringLandslide monitoringVolcano monitoringGeodetic network monitoring
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