[PPT] - Galileo Local Element Augmentation System Galileo Local Element PowerPoint Presentation

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1 GALILEA – April 5th et 6th 2006

Galileo Local Element Augmentation System

Galileo Local Element Augmentation System (GALILEA) (GALILEA) Galileo Workshop for Galileo Workshop for SMEs SMEs

rganised by the GJU
rganised by the GJU

April 5 April 5th

th & 6

& 6th

th 2006

2006

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2 GALILEA – April 5th et 6th 2006

The project addresses local elements innovative

aspects

It focuses new methods and algorithms to locally

predict, monitor and possibly improve in near real time the service performance

Duration: 12 Months Consortium: 2 SME’s, 2 Universities, 1 Federal

Authority

Project General Info

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3 GALILEA – April 5th et 6th 2006

Project General Info

Consortium:

Space Engineering (Italy)

Prime Contractor In charge of: SW Specification, Model Development, Integration and

Validation

CISAS (Italy)

In charge of: Models Development, Data Fusion

NavPos System (Germany)

In charge of: Application Definition, Integration and Validation

Federal Agency for Cartography and Geodesy (Germany)

In charge of: Specification, dissemination

Budapest University of Technology and Economics (Hungary)

In charge of: Validation Campaign

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4 GALILEA – April 5th et 6th 2006

Overview & Objectives

The local prediction, monitoring and improving of the service

performance is an additional feature, with respect to the baseline services presently planned for local elements, therefore it represents an opportunity to some classes of users for safer navigation and better accuracy.

The objective is to complement the local element service

performance by additional data, e.g.:

near real time prediction and monitoring of SISE, local iono corrections Local tropo corrections.

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5 GALILEA – April 5th et 6th 2006

Research Directions

The following complementary research directions are investigated:

efficient computational methods for generating high-accuracy local data

in a very short time making use of only local reference stations. This requires a careful identification of the algorithms, which at the same time should exploit the Galileo specific features (e.g. three frequencies) and guarantee the best compromise between the algorithms processing time and the estimation accuracy;

innovative data fusion techniques to merge local data with

global/regional data, in order to predict and monitor SISE, tropo and iono

corrections. As we will show later, we will use in the process data from

IGS and EUREF networks for better estimation of local and global parameters;

efficient local communication architecture able to disseminate the

SISE and the derived information with the lowest latency time using Internet or UMTS technology (building on the example of ESTB, SISnet and the EUREF IP project).

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6 GALILEA – April 5th et 6th 2006

total pass duration

Validity Time estimated by the proposed application SISA Validity Time SISA SISE predicted by th proposed applicatio time m Integrity Flag=0 Integrity Flag=1 Pseudorange residuals fit interval Extrapolation

f the SISE

Processing Delay

SISE Prediction & Monitoring Concept (1/2)

The SISE extrapolation

interval is composed on two contributions:

a short processing

delay needed to obtain SISE estimates from the set of data,

a validity interval in

which the confidence of SISE prediction is high.

The recursively of the

process guarantees to the user a continuous availability of updated SISE estimates.

Predict if/when the SISE will exceed the SISA Predict if/when the SISE will exceed the SISA

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7 GALILEA – April 5th et 6th 2006

SISE Prediction & Monitoring Concept (2/2)

The Signal In Space Error (SISE) will be estimated in two manners:

the first is based on data from a local network of stations. It

consists of cleaning the observation from the above estimated errors, and estimating several coefficients of a specific model using these cleaned observation residuals.

The second is based on ultrarapid predictions from IGS: the

broadcast position/clock of GNSS satellites is compared with IGS predictions and the difference is projected to the line of sight to the station.

The two methods are complementary: the first is more relayed to a

real time service provision, while the second is more global. The motivation to consider both is to merge the information, and to provide methods for comparison and validation of the results.

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8 GALILEA – April 5th et 6th 2006

Local IONO Correction Concept

The ionospheric correction will be computed locally by

the reference station using dual (for GPS/GLONASS) or three (for Galileo) frequency techniques.

This error and a short term prediction will be available to a

local user in a neighborhood (the size to be determined within the research activity) of the reference station.

We believe this approach to be feasible because the

ionospheric effects on ray tracing tend to change slowly with time and to maintain a high spatial correlation on the scale of tens of kilometers.

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9 GALILEA – April 5th et 6th 2006

Local Tropo Correction Concept

The tropospheric correction includes a term based on Near

Real Time data delivered already now by several networks, such as the COST 716 project of the EU, or EUREF.

The tropospheric correction term will be computed at the station

n the basis of local pressure and temperature data measured

by traditional sensors, and then extrapolated to a nearby user.

The prediction is, in this case, more problematic than for the

ionospheric effect due to the higher time variability and the shorter correlation scale of the tropospheric terms.

The refresh rate of this info needs to be understood as well as

its decay in accuracy, as a function of the distance from the permanent station and the epoch since it was issued.

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10 GALILEA – April 5th et 6th 2006

Applications

The target for the applications includes some potential users:

SoL Users: requiring high performance requirements both in

accuracy and safety. A tight coordination with the local service providers is needed to demonstrate the benefits of the proposed service augmentation.

Public / private transport, traffic management: medium

accuracy, low safety. Here, the low cost constraint for terminals could help in the diffusion of local messages providing information useful for accuracy enhancement.

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11 GALILEA – April 5th et 6th 2006

GALILEA Study Logic

Technology Transfer Activities

Web Site of the Project International Meetings Participation

Development Activities

Verification & Validation MODELS Trade-off & Development SW Specification IONO/TROPO Models Clock Receiver/ Multipath SISE Model IGS Data Fusion Prototypes Integration in AVIGA Prototypes Integration in SCM Validation Plan Validation Campaign Integrity Service Volume Simulations

Consolidation Activities

Application Definition Message/ Communication

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12 GALILEA – April 5th et 6th 2006

GALILEA Schedule

ID Task Name 1

1000 - Management

2

2000 - Definition

3

2100 - Application Definition

4

2200 - MSG Comm. Spec

5

3000 - D&D&I&V

6

3100 - SW Specification

7

3200 - Model Development

8

3210 - IONO/TROPO Model Dev.

9

3220 - Clk / MP Receiver Dev.

10

3230 - SISE Model Dev.

11

3240 - IGS Data Fusion

12

3300 - SW Integration

13

3100 - SW Integration in AVIGA

14

3200 - SW Integration in SCM

15

3400 Validation

16

3410 - Integrity Monitoring

17

3420 - Validation Plan

18

3430 - Validation Campaign

19

4000 - Dissemination

20

4100 - Project Results Dissemination

21

4200 - Project WEB Site

22 23

KO – Kick Off

24

CR – Consolidation Review

25

MTR – Mid Term Review

26

FR – Final Review

KO CR MTR FR W-2 W-1W1W2W3W4W5W6W7W8W9 W10 W11 W12 W13 W14 W15 W16 W17 W18 W19 W20 W21 W22 W23 W24 W25 W26 W27 W28 W29 W30 W31 W32 W33 W34 W35 W36 W37 W38 W39 W40 W41 W42 W43 W44 W45 W46 W47 W48 W49 W50 W51 W52 W Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar 2006