Improving UWB indoor localization accuracy using sparse fingerprinting and transfer learning

K Adamkiewicz, P Koch, B Morawska, P Lipiński… - International Conference …, 2021 - Springer
Indoor localization systems become more and more popular. Several technologies are
intensively studied with application to high precision object localization in such …

Transfer learning-based UWB indoor localization using MHT-MDC and clusterization-based sparse fingerprinting

B Morawska, P Lipinski, K Lichy… - Journal of Computational …, 2022 - Elsevier
Indoor localization systems have become more and more popular. Several technologies are
intensively studied with application to high precision object localization in such …

Deep belief networks for fingerprinting indoor localization using ultrawideband technology

J Luo, H Gao - International Journal of Distributed Sensor …, 2016 - journals.sagepub.com
With the increasing requirement of localization services in indoor environment, indoor
localization techniques have drawn a lot of attention. In recent years, fingerprinting …

Uwb physical layer adaptation for best ranging performance within application constraints

H Mohammadmoradi, M Heydariaan… - Proceedings of the 2nd …, 2018 - dl.acm.org
Indoor localization has been a hot area of research for many years. There are many
research proposals and commercial products which can accurately locate moving objects …

[HTML][HTML] Hybrid indoor localization using WiFi and UWB technologies

S Monica, F Bergenti - Electronics, 2019 - mdpi.com
The interest in indoor localization has been increasing in the last few years because of the
numerous important applications related to the pervasive diffusion of mobile smart devices …

Improving the performance of deep learning for wireless localization

R Pydipaty, J George, K Selvaraju, A Saha - arXiv preprint arXiv …, 2020 - arxiv.org
Indoor localization systems are most commonly based on Received Signal Strength
Indicator (RSSI) measurements of either WiFi or Bluetooth-Low-Energy (BLE) beacons. In …

INBS: An Improved Naive Bayes Simple learning approach for accurate indoor localization

W Zhang, L Wang, Z Qin, X Zheng… - 2014 IEEE …, 2014 - ieeexplore.ieee.org
Indoor localization based on WiFi signal strength fingerprinting techniques have been
attracting many research efforts in past decades. Many localization algorithms have been …

WiDeep: WiFi-based accurate and robust indoor localization system using deep learning

M Abbas, M Elhamshary, H Rizk… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Robust and accurate indoor localization has been the goal of several research efforts over
the past decade. Due to the ubiquitous availability of WiFi indoors, many indoor localization …

Monofi: Efficient indoor localization based on single radio source and minimal fingerprinting

I Fahmy, S Ayman, H Rizk, M Youssef - Proceedings of the 29th …, 2021 - dl.acm.org
Indoor localization is a key component of pervasive and mobile computing. Due to the
widespread use of WiFi technology, WiFi fingerprinting is one of the most widely utilized …

Fingerprinting-assisted UWB-based localization technique for complex indoor environments

S Djosic, I Stojanovic, M Jovanovic, T Nikolic… - Expert Systems with …, 2021 - Elsevier
Among the numerous radio-based solutions for indoor localization, ultra-wideband (UWB)
technology is of particular interest due to its signal characteristics. The wide bandwidth of the …