Master Thesis in the field of 3D Emitter localization

Job description

Airbus Defence and Space GmbH

Airbus is a global leader in aeronautics, space and related services. In 2019 it generated revenues of € 70.5 billion and employed a workforce of around 134,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world’s leading space companies. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide.

Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary - on the ground, in the sky and in space.

Job Description

Description

Emitter localization is a key topic for future missions. For localizing an emitter, usually 1D passive RF sensors are used that deliver bearing (azimuth) measurements. Therefore, in order to estimate the position of an emitter several measurements are needed from one or more platforms.

The goal of this work is to reduce the number of necessary measurements and platforms by using a 2D passive RF sensor that delivers bearing (azimuth)  and elevation measurements.

The work will include

·  Adaptation of an existing sensor model in C++
·  Development of a localization algorithm that uses 2D (bearing  and elevation) measurements to estimate the 3D position of an emitter
·  Implementation of said algorithm in C++ and, if needed, in Matlab
·  Integration of algorithm to the MUM-T Development Environment

We are looking for a student with the following skills:

·  Enrolled student (d/f/m) within Information Technology , Engineering or similar field of study
·  Good skills in geometry
·  Familiar with probability theory & statistics
·  Familiar with sensor fusion and in particular Kalman filtering and its non-linear variants
·  Matlab Experience
·  C++ Know-How
·  Good English & German language skills
·  Team player

Context

The described work will be performed as part of the Cross-Platform Mission Management (XPMS) project which studies and prepares algorithms that can be subsequently used in the Manned-Unmanned Teaming (MUM-T) demonstrator and in other projects with relevant interests.

For more information see:

https://www.airbus.com/newsroom/stories/Airbus-demonstrates-MUT.html

https://www.youtube.com/watch?v=ZnjQG8aInB8

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.