Hybrid Multipath Assisted Positioning and Fingerprinting Using Transformer Models
Markus Ulmschneider, Christian Gentner, Armin Dammann, German Aerospace Center (DLR)
Date/Time: Friday, Sep. 20, 8:57 a.m.
Multipath assisted positioning exploits the spatial information contained in wireless radio signals for localizing a receiver. While such schemes are computationally very complex, they can be used in the offline phase of a fingerprinting scheme. We have presented previously such a fingerprinting scheme, where the fingerprints are channel features, and their locations are estimated with a multipath assisted positioning scheme in the offline phase. The fingerprints and their locations are used to train a mixture density network (MDN). Within this paper, we investigate the benefit of a modern transformer model compared to a MDN.
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