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Improving Deep Learning-Based UWB LOS/NLOS Identification with Transfer Learning: An Empirical Approach
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Survey of NLOS identification and error mitigation problems in UWB-based positioning algorithms for dense environments
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Internet of wearable low-power wide-area network devices for health self-monitoring
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Non-Line-of-Sight Identification Based on Unsupervised Machine Learning in Ultra Wideband Systems
inferredcites →https://doi.org/10.1109/ccnc.2018.8319264openalex-snapshot
NLOS identification in UWB channel for indoor positioning
inferredcites →https://doi.org/10.1109/icce.2019.8662065openalex-snapshot
UWB NLOS identification with feature combination selection based on genetic algorithm
inferredcites →https://doi.org/10.1109/icct46805.2019.8947166openalex-snapshot
A Novel Approach to NLOS Identification for UWB Positioning Based on Kernel Learning
inferredcites →https://doi.org/10.1109/icl-gnss49876.2020.9115498openalex-snapshot
NLOS Detection using UWB Channel Impulse Responses and Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/ieee-iws.2019.8804072openalex-snapshot
Non-Line-of-Sight Identification for UWB Indoor Positioning Systems using Support Vector Machines
inferredcites →https://doi.org/10.1109/ipin.2017.8115877openalex-snapshot
Real-time identification of NLOS range measurements for enhanced UWB localization
inferredcites →https://doi.org/10.1109/jiot.2019.2914414openalex-snapshot
Distributed and Multilayer UAV Networks for Next-Generation Wireless Communication and Power Transfer: A Feasibility Study
inferredcites →https://doi.org/10.1109/jiot.2020.2988634openalex-snapshot
Cellular Communications in Ocean Waves for Maritime Internet of Things
inferredcites →https://doi.org/10.1109/jiot.2020.2989426openalex-snapshot
WiFi Vision: Sensing, Recognition, and Detection With Commodity MIMO-OFDM WiFi
inferredcites →https://doi.org/10.1109/lcomm.2020.2999904openalex-snapshot
UWB NLOS/LOS Classification Using Deep Learning Method
inferredcites →https://doi.org/10.1109/msp.2005.1458289openalex-snapshot
Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks
inferredcites →https://doi.org/10.1109/nics48868.2019.9023805openalex-snapshot
LOS/NLOS Channel Identification Technology Based on CNN
inferredcites →https://doi.org/10.1109/radioelek.2019.8733537openalex-snapshot
An Overview of the IEEE 802.15.4z Standard its Comparison and to the Existing UWB Standards
inferredcites →https://doi.org/10.1109/tvt.2018.2883810openalex-snapshot
A Novel NLOS Mitigation Algorithm for UWB Localization in Harsh Indoor Environments
inferredcites →https://doi.org/10.1109/twc.2020.3003284openalex-snapshot
Millimeter-Wave Networking in the Sky: A Machine Learning and Mean Field Game Approach for Joint Beamforming and Beam-Steering
inferredcites →https://doi.org/10.1109/uemcon47517.2019.8993100openalex-snapshot
UWB Channel Classification Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/wcnc.2019.8886002openalex-snapshot
NLOS identification and mitigation based on CIR with particle filter
inferredcites →https://doi.org/10.1145/3307334.3328607openalex-snapshot
Sensor Localization System for AR-assisted Disaster Relief Applications (poster)
inferredcites →https://doi.org/10.23919/eusipco.2019.8902949openalex-snapshot
NLOS Classification Based on RSS and Ranging Statistics Obtained from Low-Cost UWB Devices
inferredcites →https://doi.org/10.3390/s18010168openalex-snapshot
Experimental Evaluation of UWB Indoor Positioning for Sport Postures
inferredcites →https://doi.org/10.3390/s18051592openalex-snapshot
Improving UWB-Based Localization in IoT Scenarios with Statistical Models of Distance Error
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s12243-021-00884-6openalex-snapshot
NLOS identification and mitigation in UWB positioning with bagging-based ensembled classifiers
inferred← citeshttps://doi.org/10.1007/s40747-026-02335-yopenalex-snapshot
NLOS identification and error mitigation algorithms for indoor positioning: a review
inferred← citeshttps://doi.org/10.1007/s42835-021-00957-5openalex-snapshot
High Precision Indoor Positioning System Based on UWB/MINS Integration in NLOS Condition
inferred← citeshttps://doi.org/10.1016/j.adhoc.2023.103132openalex-snapshot
LUVI: Lightweight UWB-VIO based relative positioning for AR-IoT applications
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Ultra-wideband non-line-of-sight identification for heavy lifting localization in modular construction
inferred← citeshttps://doi.org/10.1016/j.iot.2024.101194openalex-snapshot
PedLoc: UWB-based pedestrian localization for autonomous vehicles
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.114835openalex-snapshot
The application of gated recurrent unit algorithm with fused attention mechanism in UWB indoor localization
inferred← citeshttps://doi.org/10.1038/s41598-025-03007-6openalex-snapshot
Reference coordinate based Chan algorithm for UWB personnel localization in underground coal mines
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Machine Learning-Based Ultra-Wideband Non-Line-of-Sight Identification for Crane-Lift Positioning in Modular Integrated Construction
inferred← citeshttps://doi.org/10.1080/10095020.2023.2178334openalex-snapshot
FCN-Attention: A deep learning UWB NLOS/LOS classification algorithm using fully convolution neural network with self-attention mechanism
inferred← citeshttps://doi.org/10.1088/1361-6501/ae3cb1openalex-snapshot
An improved UWB/PDR integrated system for pedestrian wearable indoor localization
inferred← citeshttps://doi.org/10.1088/2631-8695/ada978openalex-snapshot
A method for mitigating NLOS error for UWB based on CNN-stacked-LSTM model
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Antenna Delay Calibration of UWB Nodes
inferred← citeshttps://doi.org/10.1109/access.2022.3169267openalex-snapshot
Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review
inferred← citeshttps://doi.org/10.1109/access.2024.3369920openalex-snapshot
Deep Attention-Based Network Combing Geometric Information for UWB Localization in Complex Indoor Environments
inferred← citeshttps://doi.org/10.1109/access.2024.3402997openalex-snapshot
Uncovering the Potential of Indoor Localization: Role of Deep and Transfer Learning
inferred← citeshttps://doi.org/10.1109/access.2024.3480236openalex-snapshot
Robust Classification of UWB NLOS/LOS Using Combined FCE and XGBoost Algorithms
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Recent Advances in WSN-Based Indoor Localization: A Systematic Review of Emerging Technologies, Methods, Challenges, and Trends
inferred← citeshttps://doi.org/10.1109/access.2025.3593578openalex-snapshot
RIM-Net: A Real-Imaginary-Magnitude Network for NLOS/LOS Identification in UWB Indoor Positioning Systems
inferred← citeshttps://doi.org/10.1109/blackseacom52164.2021.9527899openalex-snapshot
NLOS Links Detection Algorithm for Improved 5G NR Indoor Positioning
inferred← citeshttps://doi.org/10.1109/fmec59375.2023.10306158openalex-snapshot
Automatic NLOS Classification from Virtual 3D City Models
inferred← citeshttps://doi.org/10.1109/i2ct61223.2024.10543298openalex-snapshot
Deep Learning-based LOS/NLOS Classification for Reliable Communication in Industrial IoT
inferred← citeshttps://doi.org/10.1109/iceece71300.2026.11709906openalex-snapshot
A Review on Data-Driven LoS/NLoS Classification Techniques for 5G Wireless Systems
inferred← citeshttps://doi.org/10.1109/iciea54703.2022.10006070openalex-snapshot
A Method for Non-line of Sight Identification and Delay Correction for UWB Indoor Positioning
inferred← citeshttps://doi.org/10.1109/iciea65512.2025.11148418openalex-snapshot
A NAS Method for Cross-room NLOS Acoustic Signal Identification via Domain Adaptation
inferred← citeshttps://doi.org/10.1109/icl-gnss54081.2022.9797024openalex-snapshot
Labeling for UWB Ranging in Weak NLOS Conditions
inferred← citeshttps://doi.org/10.1109/ipin51156.2021.9662532openalex-snapshot
Self-Learning Detection and Mitigation of Non-Line-of-Sight Measurements in Ultra-Wideband Localization
inferred← citeshttps://doi.org/10.1109/ipin51156.2021.9662544openalex-snapshot
Transfer Learning for Convolutional Indoor Positioning Systems
inferred← citeshttps://doi.org/10.1109/ipin62893.2024.10786122openalex-snapshot
Non-Line-of-Sight Detection for Radio Localization using Deep State Space Models
inferred← citeshttps://doi.org/10.1109/jiot.2023.3299319openalex-snapshot
Transfer Learning for UWB Error Correction and (N)LOS Classification in Multiple Environments
inferred← citeshttps://doi.org/10.1109/jiot.2024.3523438openalex-snapshot
Robust Indoor RF Signal LOS Classification: An Exploit of Modulation and Beamforming
inferred← citeshttps://doi.org/10.1109/jiot.2025.3525722openalex-snapshot
Hard Sample Meta-Learning for CIR NLOS Identification in UWB Positioning
inferred← citeshttps://doi.org/10.1109/jiot.2025.3575562openalex-snapshot
AdaLOS: A Domain Adaptive UWB NLOS Identification for Dynamic Settings
inferred← citeshttps://doi.org/10.1109/jiot.2026.3658778openalex-snapshot
A Novel NLOS Correction Approach for Harsh Indoor Settings
inferred← citeshttps://doi.org/10.1109/jispin.2023.3275118openalex-snapshot
Toward Seamless Localization: Situational Awareness Using UWB Wearable Systems and Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/jispin.2023.3337055openalex-snapshot
Bidirectional UWB Localization: A Review on an Elastic Positioning Scheme for GNSS-Deprived Zones
inferred← citeshttps://doi.org/10.1109/jispin.2024.3384909openalex-snapshot
Ubiquitous UWB Ranging Error Mitigation With Application to Infrastructure-Free Cooperative Positioning
inferred← citeshttps://doi.org/10.1109/jsen.2021.3101933openalex-snapshot
Estimating TOA Reliability With Variational Autoencoders
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Robust UWB Indoor Localization for NLOS Scenes via Learning Spatial-Temporal Features
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UWB NLOS Recognition Based on Improved Convolutional Neural Network Assisted by Wavelet Analysis and Gramian Angular Field
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An Indoor UWB NLOS Correction Positioning Method Based on Anchor LOS/NLOS Map
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Domain-Adversarial Learning for UWB NLOS Identification in Dynamic Obstacle Environments
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MSGFN: Multiscale Gated Fusion Network for UWB NLOS/LOS Classifications
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RESeTNet: Residual Embedding Sequential Transformer Network for High-Repetition Pulse Deblurring in Passive Location
inferred← citeshttps://doi.org/10.1109/sips52927.2021.00031openalex-snapshot
OneAI - Novel Multipurpose Deep Learning Algorithms for UWB Wireless Networks
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Lab to Multiscene Generalization for Non-Line-of-Sight Identification With Small-Scale Datasets
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Accurate and Robust UWB Localization With Incomplete Measurements Based on Multi-Modal Diffusion Model
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Polarization Diversity-Enabled LOS/NLOS Identification via Carrier Phase Measurements
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Transfer Learning-Based NLOS Identification for UWB in Dynamic Obstructed Settings
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Multi-Classification of UWB Signal Propagation Channels Based on One-Dimensional Wavelet Packet Analysis and CNN
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Transfer Learning to adapt 5G AI-based Fingerprint Localization across Environments
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NLOS Identification and Mitigation for Time-based Indoor Localization Systems: Survey and Future Research Directions
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Hierarchical agglomerative clustering approach for direct and obstructed link classification in IsOWC systems
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Clustering Fusion Algorithm for ImprovedAccuracy in UWB Indoor Positioning
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Research on Indoor 3D Positioning Model Using Improved Triangular Centroid Position Algorithm Based on UWB
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Machine Learning Integration in Ultra-Wideband-Based Indoor Positioning Systems: A Comprehensive Review
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Ranging Offset Calibration and Moving Average Filter Enhanced Reliable UWB Positioning in Classic User Environments
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User Orientation Detection in Relation to Antenna Geometry in Ultra-Wideband Wireless Body Area Networks Using Deep Learning
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Optimization of a Time-of-Arrival-Ridge Estimation Iterative Model for Ultra-Wideband Positioning in a Long Linear Area
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Domain-Adversarial Neural Network for UWB NLOS Identification in Multiple Environments
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Bidirectional UWB Localization: A Review on an Elastic Positioning Scheme for GNSS-deprived Zones
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Identification and mitigation of non-line-of-sight path effect using repeater forhybrid ultra-wideband positioning and networking system
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Improving the Accuracy of Location Data in UWB-Based RTLS Using Deep Learning Methods
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Statistical LOS/NLOS Classification for UWB Channels
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