Forschungspraktika

Themenbeschreibung: In many modern applications localization plays a crucial role. As an example in the case of localization in industrial halls or the localization of cows on a dairy field. Using Time-Difference-of-Arrival (TDoA) for localization requires a precise receiver synchronization.
Research at LIKE focuses on using Signals of Opportunity (SoO) for synchronization. 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 extractet that are needed for a precise synchronization. The currently implemented synchronization algorithm processes a lot of data that needs to be transferred over WLAN.

One possibility to reduce the amount of data is the application of quantisers for a more efficient representation of the synchronization data. This should reduce the amount of data that needs to be transferred. In a recent thesis a subband filterbank was implemented in order to split the signal into different streams in the frequency domain.

Based on this work this thesis will focus on different quantization techniques to quantize the SoO as a whole or different quantization variants for the subbands.

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 this research project, the following tasks will be undertaken:

Gaining Familiarity with the current Framework
Literature research on different quantization techniques
Implementation of different quantization techniques for complete and subband signal
Evaluation of different possibilities to apply quantization

Themengebiete: Signal Processing, Synchronization, Python

Voraussetzungen: Good knowledge python, basic signal processing knowledge

Betreuer: Sebastian Klob

Hochschullehrer:

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