UWB-based Indoor Localization using Angle-of-Arrival (AoA) Measurements

Ultra-wideband (UWB) is an emerging radio technology for building location-aware IoT applications. Its high bandwidth, indeed, allows for a high timing resolution of the received signal, which leads to excellent ranging capabilities and enables distance measurements with sub-decimetre precision.

In this project, you will be investigating the AoA capabilities of the next-generation UWB-transceivers and their localization performance in terms of accuracy and precision.

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Student Target Groups:

  • Students of Electrical Engineering (EE), Information and Computer Engineering (ICE) , and Computer Science (CS).

Thesis Type:

  • Master Project / Master Thesis.

Required Prior Knowledge:

  • Excellent C programming skills;
  • Good Python and Matlab skills;
  • Basic background on signal processing;
  • Experience with embedded platforms/microprocessors is of advantage.

Goals and Tasks:

  • Explore the angle-of-arrival capabilities of the next-generation ultra-wideband platforms.
  • Build a single-anchor localization system leveraging angle-of-arrival, ranging measurements, and multipath information, building upon the joint SALMA work between ITI and SPSC.
  • Evaluate the accuracy, precision, and robustness of your solution.


  • As soon as possible