HPLE
High Precision Local Element

Background & Objectives

Classically, the processing steps in the ambiguity resolution (AR) domain are the following:

  • Pre-processing of the observables;
  • Computation of the double differences;
  • Computation of the float ambiguities;
  • Computation of the ‘integer ambiguities’;
  • Validation of the integer ambiguities;
  • Computation of the precise position.

DIGINEXT has already worked in this domain and has processed real GNSS data. This is essential so as to adapt the algorithms, designed by research organisations, to real world conditions and integrate them in adaptive software architecture. TU Delft is a recognised expert in the AR domain (LAMBDA method) and is continuously developing innovative methods to improve the accuracy, the reliability or the TTFF. The major contribution of TU Delft in this project is the ‘innovative validation’ method aimed at providing improved results in terms of both reliability and rapidity.

CERFACS has a fresh and critical view on the work performed in the AR domain so far. It aims at developing advanced methods for the numerical simulation and the algorithmic solution of large scientific and technological problems of interest for research as well as for industry. Its background in various scientific domains, such as in algebraic graph theory, is an interesting contribution to the other partners of the consortium.

HPLE addresses the problem of improving the accuracy, reliability and the TTFF (time to first fix) in high precise positioning, between two receivers, by processing GNSS (Global Navigation Satellite System) signals and particularly Galileo signals.

Description

The methodology followed so as to design the various algorithms was to respect the following guidelines:

  • Improve the quality of the processed data;
  • Reduce the integer ambiguities space of search;
  • Reliably validate the integer ambiguities;
  • Develop a GNSS observables generator to simulate a complete range of scenarios;
  • Develop a demonstrator to test the algorithms on real and simulated GNSS data.

Bearing these guidelines in mind, the partners of the consortium analysed the various steps of AR processing and then designed the algorithms. The pre-processing and the DIA procedure are designed to improve the quality of the processed data, the adjustment of the KALMAN and the RLS filters are aimed at reducing the space of search and the ambiguity validation methods (the IVM and the method applied in the RLS architecture) are developed to improve the reliability of the chosen solution. To design the GNSS observables generator, an essential part of the work consisted of analysing the way the observables could be disturbed and biased so as to make this generator as realistic as possible. All the perturbations should be present and easily configurable in the generator. The HPLE demonstrator is the final software that gathers all the developed algorithms and enables their test and validation.

Objectives

The aim of the project is to design, develop and validate an innovative GNSS demonstrator providing the users with a high precision service. To improve the accuracy, reliability and the TTFF, DIGINEXT and TU Delft have merged their knowledge to build a complete processing structure: KALMAN approach:

  • Pre-processing of the observables;
  • Computation of the double differences;
  • Computation of the float ambiguities (KALMAN);
  • Refining of the float ambiguities (DIA);
  • Computation of the integer ambiguities (LAMBDA);
  • Validation of the integer ambiguities (IVM);
  • Computation of the precise position.

The innovative validation method (IVM) automatically assigns the threshold value to validate the ambiguities on condition of the maximum allowable failure rate delivered by LAMBDA. In the framework of this project, CERFACS aims to develop an alternative approach based on the use of a RLS filter processing the reduced differences instead of the classical double differences. This led to the following processing architecture: RLS Approach:

  • Pre-processing of the observables;
  • Computation of the reduced single differences;
  • Computation of the float ambiguities (RLS);
  • Refining of the float ambiguities (RLS DIA);
  • Computation of the integer ambiguities (NEAREST);
  • Validation of the integer ambiguities;
  • Computation of the precise position.
Coordinator: 
Diginext
45 Impasse de la Draille, Parc d'Activités La Duranne
13857 Aix-en-Provence Cedex
France
GSA Project Officer: 
Eric Guyader
Total Cost: 
396 227 €
EU Contributions: 
299 900 €
Project Call: 
FP6 2nd Call
Contract Number: 
GJU/06/2423/CTR/HPLE

Work performed & results

The HPLE demonstrator, enabling the test and the evaluation of the algorithms designed in this project, has been developed. This demonstrator has a modular (choice of the applied processing) and a scalable (in terms of the present processing) architecture. This software also contains a GNSS observables generator (RINEX 3.00 format). The whole perturbations present in the observables are configurable allowing the simulation of a wide range of scenarios. Very encouraging results have been reached thanks to the work performed by the consortium: - the DIA procedure proves to be very efficient to correct data from outliers or to handle high dynamic receiver situations. - the innovative validation method provides very impressive results. The adaptation of the ambiguity validation threshold in accordance with the confidence of LAMBDA proves to both improve the TTFF and the reliability of the accepted solution. - the RLS approach proposes a complete set of tools. The various step of this algorithm are satisfactory: - the multipath are efficiently found; - this procedure accurately corrects the outliers; - NEAREST generates the right integer ambiguities; - the ambiguity validation procedure is robust.

HPLE
Photo Gallery

  • Comparison of 3D and plane projections of the relative distance in the ECEF frame

Partners
CERFACS
CERFACS
France
TU Delft
TU Delft
Netherlands

Updated: Oct 10, 2018