ionosphere effects on gnss positioning : data collection, models and analyses

53
Ionosphere effects on GNSS positioning: data collection, models and analyses João Francisgo Galera Monico, Paulo De Oliveira Camargo, Haroldo Antonio Marques, Heloisa Alves Da Silva UNESP – FCT – Presidente Prudente, SP. Bruno Bourgard Septentrio NV, Leuven. Luca Spogli INGV, Rome.

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Ionosphere effects on GNSS positioning : data collection, models and analyses João Francisgo Galera Monico , Paulo De Oliveira Camargo , Haroldo Antonio Marques, Heloisa Alves Da Silva UNESP – FCT – Presidente Prudente , SP. Bruno Bourgard Septentrio NV, Leuven. Luca Spogli - PowerPoint PPT Presentation

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Page 1: Ionosphere effects on GNSS positioning : data collection, models and analyses

Ionosphere effects on GNSS positioning: data collection, models and analyses

João Francisgo Galera Monico, Paulo De Oliveira Camargo, Haroldo Antonio Marques, Heloisa Alves Da SilvaUNESP – FCT – Presidente Prudente, SP.

Bruno BourgardSeptentrio NV, Leuven.

Luca SpogliINGV, Rome.

Page 2: Ionosphere effects on GNSS positioning : data collection, models and analyses

Outline• Infra-structure available for GNSS research and

applications in Brazil• GNSS Services required in Brazil

• Brazilian Ionospheric Model– Mod_ION– Rinex_HO

• CIGALA Project– Objectives– Preliminary results

• Final Comments

Page 3: Ionosphere effects on GNSS positioning : data collection, models and analyses

Troposphere / GNSS Met

Precise Agriculture

Page 4: Ionosphere effects on GNSS positioning : data collection, models and analyses

Available Infra-structurein South America/Brazil

Page 5: Ionosphere effects on GNSS positioning : data collection, models and analyses

SIRGAS GNSS data

• SIRGAS-CON GNSS Network

Page 6: Ionosphere effects on GNSS positioning : data collection, models and analyses

Brazilian GNSS data (IBGE/INCRA)

• Brazilian Continuous GPS Network (RBMC). Some stations are operational since 1996

• ~100 stations

Page 7: Ionosphere effects on GNSS positioning : data collection, models and analyses

RBMC Real Time – RBMC_IP • Data of about 30 Brazilian

GNSS stations are distributed in real time, using NTRIP protocol.

Page 8: Ionosphere effects on GNSS positioning : data collection, models and analyses

GNSS/GPS Active Networkat São Paulo State – Real time data

Page 9: Ionosphere effects on GNSS positioning : data collection, models and analyses

Meteorological and GNSS stations

• Meteorological stations are required to be collocated with GNSS for GNSS/Met support– 18 are available at São Paulo State (all stations were

calibrated)

Page 10: Ionosphere effects on GNSS positioning : data collection, models and analyses

GNSS demands in Brazil

Off shore applicationsAir Navigation

Positioning in generalPrecision agriculture

Rural Cadastre (50 cm or better – 1 sigma)

….

Page 11: Ionosphere effects on GNSS positioning : data collection, models and analyses

PA in Brazil is demanding 24 hours RTK service

Page 12: Ionosphere effects on GNSS positioning : data collection, models and analyses

Concerning Air Navigation, Brazilian authorities decided to invest in GBAS

instead of SBAS.

A system from Honeywell Aerospace is under certification at Rio de Janeiro

Airport (Galeão). (Cosendey presentation on Nov 09).

Page 13: Ionosphere effects on GNSS positioning : data collection, models and analyses

Challenges for such GNSS applications

Ionospheric Scintillation!

Page 14: Ionosphere effects on GNSS positioning : data collection, models and analyses

São Paulo State Network RTK (VRS)

Page 15: Ionosphere effects on GNSS positioning : data collection, models and analyses

Preliminary results.

Local Base/RTK Initialization Sart End N. points collected

TUPÃ

VRS (GNSS) 1min 24 seg 13:07:01 as 13:18:17 205ARAC (GNSS) 84,13km 8 min 4 seg 13:24:52 as 13:43:41 205

VRS_S (GPS) 2 min 23 seg 13:47:55 as 14:08:33 205ARAC_S (GPS) 84,13 km 12 min 19 seg 14:18:35 as 14:44:30 205

Page 16: Ionosphere effects on GNSS positioning : data collection, models and analyses

Ionospheric Index (I95) based on São Paulo

State GNSS Network

Page 17: Ionosphere effects on GNSS positioning : data collection, models and analyses

Developments on GNSS/Ionosphere at FCT/UNESP

Page 18: Ionosphere effects on GNSS positioning : data collection, models and analyses

GNSS and Ionosphere• A Ion-model based on GNSS has been under

development at FCT/UNESP since 1997;– Mod_Ion (in-house iono model) generates Ionospheric

maps and coefficients for L1 users• Ionospheric Index (Fp)• Ionex files from Brazilian GNSS data • Real time ionosphere maps of TEC/ROT and of the

correspondent delays on L1 (Aguiar – presentation on Nov 9th).

Page 19: Ionosphere effects on GNSS positioning : data collection, models and analyses

n 4 m 4s s s s s s

1 2 j j 1 n*2 3 j j 1i 1 i 1j 2i 1 j 2i 10

VTEC a a B {a cos(i h ) a sin(i h )} a h {a cos(i B ) a sin(i B )}

2 2 2i 2i 1i 2iF f /(f f )

n 4s s s s s s s2 1 r r 1 2 j j 1 n*2 3

i 1j 2i 1

m 4s s s s

j j 1 P2 P1 r P2 P1 P21i 1j 2i 10

F(P P ) SF (a a B {a cos(i h ) a sin(i h )} a h

{a cos(i B ) a sin(i B )} F(R R ) F(S S ) F .

TEC s s TEC s s TECi 2r 1r i p2 p1 p2 p1 r i P21s

r

VTECF (P P ) + F [(S -S ) + (R -R ) ] + Fcos(z )

• • = > i = G, Rk

Ionospheric Regional Model (MOD_Ion) (GPS & GLONASS)

Page 20: Ionosphere effects on GNSS positioning : data collection, models and analyses

Mod_Ion with inequality equation

• Problem: at some situations, even with calibrated equipments, negative values of TEC are obtained.

• One solution: to apply inequality equation as follows:n 4

s s s1 2 j j 1

i 1j 2i 1

m 4s s s

n*2 3 j j 1 i 1j 2i 10

VTEC a a B {a cos(i h ) a sin(i h )}

a h {a cos(i B ) a sin(i B )} 0

Page 21: Ionosphere effects on GNSS positioning : data collection, models and analyses
Page 22: Ionosphere effects on GNSS positioning : data collection, models and analyses

GNSS Ionospheric Products

• TEC Maps

Page 23: Ionosphere effects on GNSS positioning : data collection, models and analyses

IONEX Files

Page 24: Ionosphere effects on GNSS positioning : data collection, models and analyses
Page 25: Ionosphere effects on GNSS positioning : data collection, models and analyses

2nd and 3rd order Ionosphere corrections• In-house software was developed (RINEX_HO)

• GPS Solutions, Online First: 21 April 2011, DOI: 10.1007/s10291-011-0220-1, "RINEX_HO: second- and third-order ionospheric corrections for RINEX observation files"  by H. A. Marques, J. F. G. Monico and M. Aquino

Page 26: Ionosphere effects on GNSS positioning : data collection, models and analyses

2nd and 3rd order Ionosphere corrections• The earth’s magnetic field

– Dipolar Approximation– International Geomagnetic Reference Field (IGRF) model

(IGRF11 model)– Corrected Geomagnetic Model from PIM (Parameterized

Ionospheric Model)

• TEC– From raw pseudoranges, from pseudoranges smoothed by

phase, or from Global Ionosphere Maps (GIM).

Page 27: Ionosphere effects on GNSS positioning : data collection, models and analyses

2nd order Ionosphere correctionsBipolar – IGRF and Differences

Page 28: Ionosphere effects on GNSS positioning : data collection, models and analyses

CIGALA Project“Concept for Ionospheric scintillation mitiGAtion for professional GNSS in Latin America”

Goal: Understand the cause and implication of IS disturbances at low latitudes, model their effects and develop mitigations through:– Research of the underlying causes of IS and the development of state-of-the-art models

capable of predicting signal propagation and tracking perturbations– Field measurement via the deployment in close collaboration with local academic and

industrial partners of multi-frequency multi-constellation Ionospheric Scintillation Monitoring (ISM) network

– Design and implementation of novel IS mitigation techniques in state-of-the-art GNSS receivers

– Field testing the mitigation techniques, leveraging the same partnership as during the measurement campaign.

Page 29: Ionosphere effects on GNSS positioning : data collection, models and analyses

CIGALA partners

Page 30: Ionosphere effects on GNSS positioning : data collection, models and analyses

• 8 ISM stations• Latitudinal and longitudinal

distribution over Brazil• Two stations at São José dos

Campos (crest of EIA) and Pres. Prudente

• Data stored locally and sent to repository at UNESP, Pres. Prudente

• Data mirrored at INGV, Rome

IS Monitoring Network in Brazil

Page 31: Ionosphere effects on GNSS positioning : data collection, models and analyses

CIGALA IS Monitoring Network in BrazilContinuous recording of :

• Amplitude scintillation index S4 : standard deviation of received power normalized by its mean value

• Phase scintillation index σΦ : standard deviation of de-trended carrier phase, with Phi60 its 60” version

• TEC (Total Electron Content)• Lock time• Code – Carrier Divergence• Spectral parameters of phase Power Spectral Density:

– Spectral slope p– Spectral strength T

• Raw high-rate I&Q correlation values (50Hz)

Page 32: Ionosphere effects on GNSS positioning : data collection, models and analyses

Septentrio PolaRxS ISM receiver is the base of the CIGALA network

(c) CIGALA Consortium

Page 33: Ionosphere effects on GNSS positioning : data collection, models and analyses

PolaRxS: facts Track GPS, GLONASS, GALILEO, COMPASS, SBAS L1, L2, L5, E5a, E5b signals, including GPS L2C, GLONASS

L2C and Galileo E5 AltBOC Very low phase noise OCXO 100Hz signal intensity and phase output for all signals Computation of S4, sf , TEC, spectral parameters,... for all

satellites and signals Interoperable ISMR file format Multiple Interfaces: 4 RS232, USB, Ethernet Rugged IP65 housing Temperature range: -40C to 60C Powering: 9-30V ; 6W

Page 34: Ionosphere effects on GNSS positioning : data collection, models and analyses

PolaRxS Phi60 Noise Floor <0.03rad

24-h Spirent simulation, Perfect GPS signal, L1

Page 35: Ionosphere effects on GNSS positioning : data collection, models and analyses

Receiver optimize for Maximum Tracking availability during Strong Scintillation

Optimized ISM receiver

0.40.6

0.81

5

10

15

200

10

20

30

40

50

60

S4 levelPLL bandwidth [Hz]

Loss

-of-l

ock

prob

abilit

y [%

]

0.40.6

0.81

5

10

15

200

2

4

6

8

10

S4 levelPLL bandwidth [Hz]

Loss

-of-l

ock

prob

abilit

y [%

]

Normal Receiver

Simulated with CSM on Spirent

Data bearing signals

Page 36: Ionosphere effects on GNSS positioning : data collection, models and analyses

Receiver optimize for Maximum Tracking availability during Strong Scintillation

0.40.6

0.81

5

10

15

200

10

20

30

40

50

60

S4 levelPLL bandwidth [Hz]

Loss

-of-l

ock

prob

abilit

y [%

]

0.40.6

0.81

5

10

15

200

2

4

6

8

10

S4 levelPLL bandwidth [Hz]

Loss

-of-l

ock

prob

abilit

y [%

]

Optimized ISM receiverNormal Receiver

Simulated with CSM on Spirent

Pilot Signal (L2C)

Page 37: Ionosphere effects on GNSS positioning : data collection, models and analyses

Comparison with currently deployed GSV equipment

• Scintillation free mid-latitude location (Nottingham)

• GPS L1CA• 24h recording

• S4: correlation coefficient = 0.9

• Phi60:– PxS: 0.0292– GSV: 0.0547

PRN19

Page 38: Ionosphere effects on GNSS positioning : data collection, models and analyses

Field Validation (C/N)

• CIGALA receivers PRU1 and PRU2 at Presidente Prudente• February to April 2011

L1 L2

Page 39: Ionosphere effects on GNSS positioning : data collection, models and analyses

Field Validation (CCSTDDEV)

• CIGALA receivers PRU1 and PRU2 at Presidente Prudente• February to April 2011

L1 L2

Page 40: Ionosphere effects on GNSS positioning : data collection, models and analyses

Using GLONASS for IS monitoring

• GPS and GLONASS orbits are complementary to increase spatial and temporal observability of the ionosphere

• GLONASS provides open signals on both L1 and L2 in all SV

Page 41: Ionosphere effects on GNSS positioning : data collection, models and analyses

Moderate Scintillation Occurrence (S4) observed using GPS vs. GLONASS

• INGV GBSC software is used to draw maps of rate of occurrence of S4>0.25 as a function of lat/long or lat/time

• Maps plotted for L1 observations between Feb and April 2011• Increased probability of scintillation clearly observable in EIA post-sunset• Very good match between GPS and GLONASS observation => data can be merged

GPS GLONASS

EIA EIA

Page 42: Ionosphere effects on GNSS positioning : data collection, models and analyses

Moderate Scintillation Occurrence (Phi60) observed using GPS vs. GLONASS

GPS GLONASS

• INGV GBSC software is used to draw maps of rate of occurrence of Phi60>0.25 as a function of lat/long or lat/time

• Maps plotted for L1 observations between Feb and April 2011• EIA observable for GPS• No match GPS and GLONASS observations

Page 43: Ionosphere effects on GNSS positioning : data collection, models and analyses

Understanding lack of Phi60 observability when using GLONASS signal

• Short term stability of the GLONASS satellite clock lower than GPS

• Small scale phase scintillation cannot be measured from single frequency observation

• Solution: Using differenced L1/L2 measurement to cancel the satellite clock effect

Page 44: Ionosphere effects on GNSS positioning : data collection, models and analyses

Strong Scintillation Event on Sept 25, 2011

Page 45: Ionosphere effects on GNSS positioning : data collection, models and analyses

S4 During Scintillation

0 0.5 1 1.5 20

0.2

0.4

0.6

0.8

1

1.2

1.4

UTC time [hours]

S4 fr

om L

1CA

(elev

atio

n m

ask

of 2

0 de

g)PRU2, Sep-25, 2011

0 0.5 1 1.5 20

0.2

0.4

0.6

0.8

1

1.2

1.4

UTC time [hours]S4

from

L2C

(ele

vatio

n m

ask

of 2

0 de

g)

PRU2, Sep-25, 2011

PRN2PRN15PRN26

PRN15

• S4 reported continuously during scintillation• S4 in L2 reported thanks to PRN15 (L2C) pass

L1CA L2C

Page 46: Ionosphere effects on GNSS positioning : data collection, models and analyses

SigmaPhi during Scintillation

0 0.5 1 1.5 20

0.5

1

1.5

UTC time [hours]

Phi6

0-L1

CA [r

ad] (

elev

atio

n m

ask

of 2

0 de

g)

PRU2, Sep-25, 2011

0 0.5 1 1.5 20

0.5

1

1.5

UTC time [hours]Ph

i60-L

2C [r

ad] (

elev

atio

n m

ask

of 2

0 de

g)

PRU2, Sep-25, 2011

PRN2PRN15PRN26

PRN15

L1CA L2C

• sphi reported continuously on ISM optimized receiver

Page 47: Ionosphere effects on GNSS positioning : data collection, models and analyses

Tracking robustness (Cycle Slips)

1500 2000 2500 3000

-0.5

-0.4

-0.3

-0.2

-0.1

0

0.1

0.2

0.3

0.4

0.5

UTC time [hours]

Detre

nded

L1

carri

er p

hase

[cyc

les]

PRU2, PRN15, Sep-25, 2011

carrier phasenav bit error

Phase tracking continuous during the whole event despites the very high S4 level

3 cycles slips seen on L1CA (PRN15) No cycles slips on L2C!

Page 48: Ionosphere effects on GNSS positioning : data collection, models and analyses

Effect on Real Time Precise Point Positioning

0 0.5 1 1.5 2 2.5 30

0.2

0.4

0.6

0.8

1

1.2

1.4

UTC time [hours]

S4 (e

leva

tion

mas

k of

20

deg)

PRU2, Sep-25, 2011

PRN2PRN15PRN26

0 0.5 1 1.5 2 2.5 3432.6

432.8

433

433.2

433.4

433.6

433.8

434

UTC time [hours]

PPP

Heig

ht [m

]

PPP service continuous during the whole eventUp to 40cm error during event(service specification is 12cm 95%)

Page 49: Ionosphere effects on GNSS positioning : data collection, models and analyses
Page 50: Ionosphere effects on GNSS positioning : data collection, models and analyses
Page 51: Ionosphere effects on GNSS positioning : data collection, models and analyses
Page 52: Ionosphere effects on GNSS positioning : data collection, models and analyses

• Brazil is a very challenge place for GNSS applications, mainly due to the Ionosphere behavior in the equatorial region;

• Several applications are already suffering the effects of such problem (IS) and will increase in the next two years;

• In the PA and aviation there is a need for more developments and tests;

• CIGALA network will continue collecting data after the final of the project (March 2012) and may provide data for scientific purpose.

Final comments

Page 53: Ionosphere effects on GNSS positioning : data collection, models and analyses

More information?http://gege.fct.unesp.br