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 …

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 …

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 …

HUID: DBN-based fingerprint localization and tracking system with hybrid UWB and IMU

J Sun, R Gu, S Li, S Ma, H Wang, Z Li… - China …, 2023 - ieeexplore.ieee.org
High-precision localization technology is attracting widespread attention in harsh indoor
environments. In this paper, we present a fingerprint localization and tracking system to …

Passive unsupervised localization and tracking using a multi-static UWB radar network

MJ Bocus, RJ Piechocki - 2021 IEEE Global Communications …, 2021 - ieeexplore.ieee.org
The indoor localization and tracking of objects and humans with high accuracy is becoming
increasingly important in a number of applications including healthcare, ambient assistant …

An efficient indoor localization method based on the long short-term memory recurrent neuron network

B Xu, X Zhu, H Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
With the development of deep learning, fingerprints recognition based on neural networks is
a widely used method in indoor localization. In this paper, we build a long short-term …

Multiple fingerprints-based indoor localization via GBDT: Subspace and RSSI

W Wang, T Li, W Wang, Z Tu - IEEE Access, 2019 - ieeexplore.ieee.org
The demand for accurate indoor localization has become more and more urgent in location-
based services (LBS). Since the traditional indoor localization is based on a single …

CEnsLoc: Infrastructure‐Less Indoor Localization Methodology Using GMM Clustering‐Based Classification Ensembles

BA Akram, AH Akbar, KH Kim - Mobile Information Systems, 2018 - Wiley Online Library
Indoor localization has continued to garner interest over the last decade or so, due to the fact
that its realization remains a challenge. Fingerprinting‐based systems are exciting because …

Fingerprinting-based indoor localization using interpolated preprocessed CSI phases and Bayesian tracking

W Wang, D Marelli, M Fu - Sensors, 2020 - mdpi.com
Indoor positioning using Wi-Fi signals is an economic technique. Its drawback is that
multipath propagation distorts these signals, leading to an inaccurate localization. An …

A Hidden Markov Model based smartphone heterogeneity resilient portable indoor localization framework

S Tiku, S Pasricha, B Notaros, Q Han - Journal of Systems Architecture, 2020 - Elsevier
Indoor localization is an emerging application domain that promises to enhance the way we
navigate in various indoor environments, as well as track equipment and people. Wireless …