Final year thesis on ‘BFSK signal for Internet of Things (IoT) processing’ (d/m/f)

Job description

Airbus Defence and Space GmbH

Airbus is a global leader in aeronautics, space and related services. In 2018 it generated revenues of € 64 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

Are you looking for a final year project?

Then apply now! We look forward for you to join us.

You will support the department at “Navigation Solutions - GNSS Signals”in Germany/ Taufkirchen

Location: Ottobrunn / Taufkirchen (Munich area)

Start:  Spring Semester 2020

Duration: 6 months

Task Description:

Binary Frequency Shift Keying (BFSK) modulation with linear frequency offset is a new concept under investigation for GNSS fast acquisition, meant to support Internet of Things (IoT) devices.

The BFSK signal is perceived by the receiver as a two-tones signal with a fixed frequency separation.

·  The first task of the receiver is to detect the signal using an open-loop architecture (snapshot signal processing).
·  The second task is to determine the Doppler shift and the time delay of the received signal, and the final task consists in demodulating the BFSK symbols.
·  The estimation algorithm has to be particular power efficient and thus DFT coefficients interpolation techniques have to be used.
·  The main challenge of the work consists in adapting DFT coefficients interpolation technique to a dual tone signal with relatively narrow frequency spacing and variable power sharing between the two tones.
·  The objective of the thesis is to elaborate on this concept and extend it with performance analyses.
·  Existing Literature on tone estimation and DFT coefficients interpolation techniques has to be analysed and extended to the problem at hand.

Note: 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.

Required skills:

·  You are an enrolled student (d/m/f) within Electrical Engineering, Telecommunication Engineering or similar field of study
·  You have a very solid background in signal processing and signal theory
·  You have very good knowledge in estimation and detection theory
·  You have very good knowledge in digital communication and digital receiver design
·  You are a good team player, have excellent communication skills, and are able to work independently
·  Languages: English or German is mandatory, other EU languages are an asset

Contact
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Reference number JR10025706
Please provide the following documents: cover letter, C.V., relevant certificates, current certificate of enrolment
Should you have general questions regarding this position you can write an E-Mail to: students.germany@airbus.com
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.

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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