Bachelorarbeiten

Themenbeschreibung: Localization is a critical component in many modern applications, ranging from tracking equipment in industrial facilities to monitoring livestock in agricultural settings, such as dairy fields. One effective approach for localization is Time-Difference-of-Arrival (TDoA), which relies on precise synchronization between receivers to achieve accurate results.
At LIKE we are working on a state-of-the-art synchronization system based on Signals of Opportunity (SoO). These are signals that were originally intended for a different use, e.g. DAB or DVB-T. When processing these signals, relevant parameters can be extracted that are needed for precise synchronization. Currently this synchronization system is deployed in a CloudRAN, where large amounts of SoO data need to be transmitted between base stations.

One possibility to reduce the data load is the omission of carriers of the OFDM SoO, which leads to ambiguities in the correlation function used for synchronization. In this master thesis, solutions for peak tracking and therefore neglecting the influence of the ambiguities should be investigated to minimize the synchronization data load.

The obtained outcomes are to be recorded within a written report. Furthermore, the developed source code must be annotated with comments to ensure clarity and understanding. Additionally, the student is required to follow the guidelines established by the DFG (German Research Foundation) regarding Good Scientific Practice.

During the course of this work, the following tasks have to be done:

Familiarization with current synchronization framework
Literature research on suitable peak tracking algorithms
Implementation of different peak tracking solutions
Evaluation of implemented algorithms on different available SoO data

Themengebiete: Digital Signal Processing, Python, Synchronization, Digital Communication, OFDM

Voraussetzungen: Good Knowledge of Python, Experience in Digital Signal Processing

Betreuer: Sebastian Klob

Hochschullehrer: Prof. Dr.-Ing. Jörg Robert

Anfragen zu Themen und der Betreuung einer BA-Arbeit können sie auch unabhängig von den ausgeschriebenen Themen direkt an die Ansprechpartner der jeweiligen Forschungsschwerpunkte schicken.

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