Short Description

In [1] tracking algorithms both with and without data association were used to track a mobile agent in an indoor environment with only one fixed anchor node (base station). At each position of the agent, some measurements are obtained that are in some functional/probabilistic dependence to the environment. The measurements are channel impulse responses (CIRs) of the radio channel between the agent and the base station. In our work, we use the signal reflections on the room walls, contained in the CIRs, for localization as they carry a lot of position-related information. We have termed this approach multipath-assisted indoor navigation and tracking (MINT). The reflections can be mapped to virtual anchors (VAs) that allow the exploitation of the multipath propagation.

The SPSC has recently acquired a new channel sounder, an M-sequence ultra-wideband radar device, which is capable of measuring several channel impulse responses per second. Purpose of this Project/Thesis is to make the tracking schemes applicable for real-time. The project candidate will use the channel sounder to measure the CIRs between the base station and agent along an arbitrary trajectory. In the following an application, implemented in Matlab, will update the tracking algorithms in an online-manner.

Your Tasks

• Perform measurements with the channel sounder
• Implement an application for “real-time data-handling’’ in Matlab
• Implement tracking algorithms and data association methods in Matlab

Requirements

• good knowledge in statistical signal processing
• Basic Matlab knowledge

References

[1] Meissner, P. and Witrisal, K.: “Multipath-assisted single-anchor indoor localization in an office environment”, 19th International Conference on Systems, Signals and Image Processing (IWSSIP), 2012, Vienna

Report

The master-project part of this thesis is already finished. You can find the report here.