Year: 2024
Type: conference-paper
Abstract: 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.
DOI: 10.33012/2024.19878
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4403427111