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Found 11 papers, 1 papers with code
Error Mitigation for TDoA UWB Indoor Localization using Unsupervised Machine Learning
Indoor positioning systems based on Ultra-wideband (UWB) technology are gaining recognition for their ability to provide cm-level localization accuracy.
Removing the need for ground truth UWB data collection: self-supervised ranging error correction using deep reinforcement learning
A reinforcement learning agent uses the channel impulse response as a state and predicts corrections to minimize the error between corrected and estimated ranges.
A Comprehensive Overview on UWB Radar: Applications, Standards, Signal Processing Techniques, Datasets, Radio Chips, Trends and Future Research Directions
The goal of this survey is to provide a comprehensive view of the technical fundamentals and emerging trends in UWB radar.
Forecast reconciliation for vaccine supply chain optimization
We also compare the performance of the forecast before and after COVID.
Feature-Based Generalized Gaussian Distribution Method for NLoS Detection in Ultra-Wideband (UWB) Indoor Positioning System
However, it is difficult for existing ML approaches to maintain a high classification accuracy when the database contains a small number of NLoS signals and a large number of Line-of-Sight (LoS) signals.
Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions
To remedy this, this study presents in-detail the background of constrained clustering and provides a novel ranked taxonomy of the types of constraints that can be used in constrained clustering.
Deep reinforcement learning for automatic run-time adaptation of UWB PHY radio settings
To address this, we propose a deep Q-learning approach for enabling reliable UWB communication, maximizing packet reception rate (PRR) and minimizing energy consumption.
An Overview of Ultra-WideBand (UWB) Standards and Organizations (IEEE 802.15.4, FiRa, Apple): Interoperability Aspects and Future Research Directions
In this paper, the fundamentals of UWB compatibility are investigated by first giving an overview of different UWB radio chips on the market.
Multi-Static UWB Radar-based Passive Human Tracking Using COTS Devices
Due to its high delay resolution, the ultra-wideband (UWB) technique has been widely adopted for fine-grained indoor localization.
A survey on Machine Learning-based Performance Improvement of Wireless Networks: PHY, MAC and Network layer
This paper provides a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack (PHY, MAC and network).
End-to-end Learning from Spectrum Data: A Deep Learning approach for Wireless Signal Identification in Spectrum Monitoring applications
For each case study three convolutional neural networks are evaluated for the following wireless signal representations: temporal IQ data, the amplitude/phase representation and the frequency domain representation.
Networking and Internet Architecture
