Velocity-Based Channel Charting with Spatial Distribution Map Matching
- URL: http://arxiv.org/abs/2311.08016v1
- Date: Tue, 14 Nov 2023 09:21:09 GMT
- Title: Velocity-Based Channel Charting with Spatial Distribution Map Matching
- Authors: Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier,
Christopher Mutschler
- Abstract summary: Fingerprint-based localization improves positioning performance in challenging, non-line-of-sight (NLoS) dominated indoor environments.
Channel-charting avoids this labeling effort as it implicitly associates relative coordinates to the recorded radio signals.
We propose a novel framework that does not require reference positions to keep the models up to date.
- Score: 4.913210912019975
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Fingerprint-based localization improves the positioning performance in
challenging, non-line-of-sight (NLoS) dominated indoor environments. However,
fingerprinting models require an expensive life-cycle management including
recording and labeling of radio signals for the initial training and regularly
at environmental changes. Alternatively, channel-charting avoids this labeling
effort as it implicitly associates relative coordinates to the recorded radio
signals. Then, with reference real-world coordinates (positions) we can use
such charts for positioning tasks. However, current channel-charting approaches
lag behind fingerprinting in their positioning accuracy and still require
reference samples for localization, regular data recording and labeling to keep
the models up to date. Hence, we propose a novel framework that does not
require reference positions. We only require information from velocity
information, e.g., from pedestrian dead reckoning or odometry to model the
channel charts, and topological map information, e.g., a building floor plan,
to transform the channel charts into real coordinates. We evaluate our approach
on two different real-world datasets using 5G and distributed
single-input/multiple-output system (SIMO) radio systems. Our experiments show
that even with noisy velocity estimates and coarse map information, we achieve
similar position accuracies
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