Final thesis on Acquisition Techniques for BOC Modulated Navigation Signals

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

Job Title: Final year thesis on Acquisition Techniques for BOC Modulated Navigation Signals (d/m/f)

Airbus Defence and Space is a division of Airbus Group formed by combining the business activities of Cassidian, Astrium and Airbus Military. The new division is Europe’s number one defence and space enterprise, the second largest space business worldwide and among the top ten global defence enterprises. It employs some 40,000 employees generating revenues of approximately €14 billion per year.

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”

Location: Ottobrunn / Taufkirchen (Munich area)

Start:   Winter Semester 2019/2020 as soon as possible

Task Description:

Binary-Offset Carrier modulations (BOC) for GNSS signals offer well-known advantages in terms of signal scalability and multipath resilience. Nevertheless, the acquisition of BOC signals is more problematic than in DS-CDMA chip pulse shapes without frequency offset, e.g. rectangular chip pulse shape.

This is due to the fact that the autocorrelation has multiple peaks, and thus multiple hypotheses per chips are necessary. Several solutions are being developed to tackles these problems, taking also into account the GNSS receiver complexity. Some of these solutions are already quite mature, and they have to be validated and their performance assessed, either by means of mathematical models and/or GNSS software receivers. Additional solutions are at a level of concept, or are described with preliminary analytical models. However, their added value could not be demonstrated by means of simulations.

The objective of the internship is therefore to consolidate the validity and performance for those candidate algorithms for BOC acquisition. In this frame, the internship will start with a theoretical work supported by a literature research.

Then, the proposed acquisition algorithms will have to be implemented (preferably in Octave/Matlab). After validation the retained solution will have to be integrated into an existing GNSS receiver toolkit.

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 a good capability to develop software in orderly manner

• Knowledge in digital communication and digital receiver design is highly welcome

• Languages: English or German is mandatory; other EU languages are an asset.

• You are a good team player, have excellent communication skills, and are able to work independently

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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