Master's Student (f/m/d) Comparison of Bayesian Estimators for UWB Positioning with Random Access

Deutsches Zentrum für Luft- und Raumfahrt e.V.

ThesisGerman needed: not said

Still open on 1 Nov

You apply on the company's own website.

Key facts

Comparison of distance-based and time-based Bayesian estimation methods for different time scales and system dynamics
Analysis of packet loss in UWB random access, channel utilization, and their influence on estimation quality
Work with both simulations and real measurement data

Enrolled studies in electrical engineering, computer science, physics, or a related field
Sound knowledge of estimation theory, signal processing, and applied mathematics
Experience in programming, e.g., with Python, C++, MATLAB, or comparable programming languages
Independent and structured way of working
Good written and spoken English or German skills

DLR stands for diversity, appreciation, and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applications from severely disabled persons will be given preference if they are qualified.

Comparison of distance-based and time-based Bayesian estimation methods for different time scales and system dynamics
Analysis of packet loss in UWB random access, channel utilization, and their influence on estimation quality
Work with both simulations and real measurement data

Enrolled studies in electrical engineering, computer science, physics, or a related field
Sound knowledge of estimation theory, signal processing, and applied mathematics
Experience in programming, e.g., with Python, C++, MATLAB, or comparable programming languages
Independent and structured way of working
Good written and spoken English or German skills

DLR stands for diversity, appreciation, and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applications from severely disabled persons will be given preference if they are qualified.