A Weighted Random Forest Based Positioning Algorithm for 6G Indoor Communications

Y Wu, Y Wang, J Huang, CX Wang… - 2022 IEEE 96th …, 2022 - ieeexplore.ieee.org
Due to the indoor none-line-of-sight (NLoS) propagation and multi-access interference
(MAI), it is a great challenge to achieve centimeter-level positioning accuracy in indoor …

Augmented CWT features for deep learning-based indoor localization using WiFi RSSI data

P Ssekidde, O Steven Eyobu, DS Han, TJ Oyana - Applied Sciences, 2021 - mdpi.com
Localization is one of the current challenges in indoor navigation research. The
conventional global positioning system (GPS) is affected by weak signal strengths due to …

Deep Adaptive Network for WiFi-Based Indoor Localization

A Ahmad, G Sohn - International 3D GeoInfo Conference, 2023 - Springer
A growing trend for indoor localization is relying on the existing WiFi signal strength.
However, this method faces challenges due to WiFi's received signal strength (RSS) being …

A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization

R Yuan, K Huang, P Yang… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Indoor localization is getting increasing demands for various cutting-edged technologies,
like Virtual/Augmented reality and smart home. Traditional model-based localization suffers …

Fingerprinting-based indoor localization with commercial MMWave WiFi: A deep learning approach

T Koike-Akino, P Wang, M Pajovic, H Sun… - IEEE Access, 2020 - ieeexplore.ieee.org
Existing fingerprint-based indoor localization uses either fine-grained channel state
information (CSI) from the physical layer or coarse-grained received signal strength indicator …

Channel state information–based multi-level fingerprinting for indoor localization with deep learning

T Li, H Wang, Y Shao, Q Niu - International Journal of …, 2018 - journals.sagepub.com
With the rapid growth of indoor positioning requirements without equipment and the
convenience of channel state information acquisition, the research on indoor fingerprint …

DRVAT: Exploring RSSI series representation and attention model for indoor positioning

H Ai, X Sun, J Tao, M Liu, S Li - International Journal of …, 2022 - Wiley Online Library
Abstract Although Bluetooth Low Energy (BLE) fingerprinting localization has become a hot
research topic with encouraging results, it is difficult to predict the location depending on a …

Cyber-WISE: A cyber-physical deep wireless indoor positioning system and digital twin approach

MZ Karakusak, H Kivrak, S Watson, MK Ozdemir - Sensors, 2023 - mdpi.com
In recent decades, there have been significant research efforts focusing on wireless indoor
localization systems, with fingerprinting techniques based on received signal strength …

Fingerprinting-based indoor localization with commercial mmWave WiFi-part II: Spatial beam SNRs

P Wang, M Pajovic, T Koike-Akino… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Existing fingerprint-based indoor localization uses either fine-grained channel state
information (CSI) from the physical layer or coarse-grained received signal strength indicator …

Fingerprint Image-Based Multi-Building 3D Indoor Wi-Fi Localization Using Convolutional Neural Networks

A Sonny, A Kumar - 2022 National Conference on …, 2022 - ieeexplore.ieee.org
Wi-Fi based indoor localization has gained much attention around the globe due to its
widespread reach and availability. Amongst several possible approaches using Wi-Fi …