������������������������ Galileo Local Element Augmentation System Galileo Local Element Augmentation System (GALILEA) (GALILEA) Galileo Workshop for SMEs SMEs Galileo Workshop for organised by the GJU organised by the GJU th & 6 th 2006 April 5 th & 6 th 2006 April 5 GALILEA – April 5 th et 6 th 2006 1
������������������������ Project General Info � 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 GALILEA – April 5 th et 6 th 2006 2
������������������������ 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 GALILEA – April 5 th et 6 th 2006 3
������������������������ 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. GALILEA – April 5 th et 6 th 2006 4
������������������������ 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). GALILEA – April 5 th et 6 th 2006 5
������������������������ SISE Prediction & Monitoring Concept (1/2) Predict if/when the SISE will exceed the SISA Predict if/when the SISE will exceed the SISA The SISE extrapolation � interval is composed on SISE predicted by th two contributions: Integrity Flag=1 Integrity Flag=0 proposed applicatio � a short processing Processing Delay delay needed to obtain SISA SISE estimates from the set of data, Extrapolation m of the SISE � a validity interval in Pseudorange which the confidence of residuals fit interval SISE prediction is high. Validity Time estimated � The recursively of the by the proposed application process guarantees to SISA Validity Time the user a continuous time availability of updated SISE estimates. total pass duration GALILEA – April 5 th et 6 th 2006 6
������������������������ 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. GALILEA – April 5 th et 6 th 2006 7
������������������������ 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. GALILEA – April 5 th et 6 th 2006 8
������������������������ 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 on 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. GALILEA – April 5 th et 6 th 2006 9
������������������������ 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. GALILEA – April 5 th et 6 th 2006 10
������������������������ GALILEA Study Logic SW Specification International Participation Meetings Communication Technology Transfer Activities Message/ IONO/TROPO Clock Receiver/ Consolidation Activities SISE Model IGS Data Fusion Models Multipath MODELS Trade-off & Development Prototypes Prototypes Web Site of the Integration in Integration in Application Definition SCM AVIGA Project Integrity Service Validation Volume Validation Plan Campaign Simulations Development Verification & Validation Activities GALILEA – April 5 th et 6 th 2006 11
������������������������ GALILEA Schedule ID Task Name 2006 Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar 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 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 KO 23 KO – Kick Off CR 24 CR – Consolidation Review MTR 25 MTR – Mid Term Review FR 26 FR – Final Review GALILEA – April 5 th et 6 th 2006 12
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