A transformer that consumes raw UWB channel impulse responses from all anchors corrects TDoA positions, reaching 0.39 m MAE in a nearly all-NLOS industrial environment.
5G Positioning Advancements with AI/ML
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
This paper provides a comprehensive review of AI/ML-based direct positioning within 5G systems, focusing on its potential in challenging scenarios and conditions where conventional methods often fall short. Building upon the insights from the technical report TR38.843, we examine the Life Cycle Management (LCM) with a focus on to the aspects associated direct positioning process. We highlight significant simulation results and key observations from the report on the direct positioning under the various challenging conditions. Additionally, we discuss selected solutions that address measurement reporting, data collection, and model management, emphasizing their importance for advancing direct positioning.
citation-role summary
background 1
citation-polarity summary
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies
A transformer that consumes raw UWB channel impulse responses from all anchors corrects TDoA positions, reaching 0.39 m MAE in a nearly all-NLOS industrial environment.