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Reference

Réf. CNS06
Code OACI 179
enac - CNS

Training Length

5 jours

Max number of trainees

10

Date and place

ENAC Toulouse
10/12/2012 > 14/12/2012


Educational expenses

1712 €

Director of Studies

Anne-Christine ESCHER

administrative contact

Sabine CANTAYRE
Tel : +33 (0)5 62 17 40 14

Contact

Attached files

ENAC newsletter

Previous issues

Download The Reception of international Students

Téléchargez le livret d'accueil 2011

Download The Reception of foreign StudientsPDF Format

Centres

Carcassonne
Centre de formation de Carcassonne
Discover one of ENAC's nine pilot training centres

More about this centreImplantations

Campus life

Sports facilities
Vie des campus : Installations sportives
Vie des campus : Installations sportives

Satellite-based Communication, Navigation & Surveillance

Kalman Filter - Theory and Hybridation

Objectives

Present the concept of Kalman Filter as a particular and efficient application of the Least Mean Square error Concept in the Signal Theory. Numerous use of this linear filtering technique could be explored, but the navigation solution in the context of Global Navigation Satellite System will stay the main illustration. Some others examples in Surveillance and in Navigation for positioning an aircraft will be explained. The lecturers will also insist on the possibilities of utilization of merging various sources of measurement (multi-sensor systems).

Educational content

1. State space model, Overview of Continuous and Discrete Problematic.

Overview and Recall of Random Signal/Processing Theory.

2. Recall of Random signal, Overview of the Problematic of optimum estimation.

The main notion in linear and Gaussian noise context. Definition of the Equation System and Kalman filter Algorithm.

The extended case (Extended Kalman Filter) in non linear model. Definition of the Equation System and E.K.F Algorithm.

3. Notion of the “Least Mean Square Error (LMSE)“ concept in estimation theory.

Overview of the problematic of the hybridation and Coupling in Kalman filter theory.

Example : GPS/Inertial System Coupling.

4. Kalman filtering Theory and its extension

Basic example in Surveillance of Aircraft (Radar, Multilateration - Surveillance)

Completed Simulation with GPS sensor.

5. Additional of External signal Measurement of information. Illustration with the Inertial Navigation Case.

For information only : 27 hours

6. Case Study and Simulation :

Participates

Engineers or executives, with a knowledge of basic theory of signal processing.
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