Indoor Multipath Assisted Angle of Arrival Localization

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Indoor Multipath Assisted Angle of Arrival Localization

Stijn Wielandt (KU Leuven)

advisor: Prof. Lieven De Strycker

This work investigates how multipath propagation can be exploited to enhance the accuracy of AoA localization systems. The presented multipath assisted method resembles a fingerprinting approach, matching an AoA measurement vector to a set of reference vectors. In contrast to common fingerprinting systems, reference data is not generated by labor intensive site surveying. Instead, a ray tracer is developed, simulating Line-Of-Sight (LOS) and specularly reflected multipath components based on a-priori known floor plan information. For the calculation of AoA measurement vectors, the established MVDR, MUSIC and ESPRIT algorithms are employed in combination with pre- and post-processing techniques. The resulting algorithm requires only one fixed receiving antenna array to determine the position of a mobile transmitter in a room.

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