A survey on indoor positioning systems for IoT-based applications

PS Farahsari, A Farahzadi… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT), as a pervasive paradigm, is becoming an integral part of the
tech industry and academic research in recent years. It forms a ubiquitous heterogeneous …

Robust UWB indoor localization for NLOS scenes via learning spatial-temporal features

B Yang, J Li, Z Shao, H Zhang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Ultra-wide band (UWB) localization system suffers from deteriorating performance in
complex scenes, especially in non-line-of-sight (NLOS) conditions. In order to improve the …

Application of a long short-term memory neural network algorithm fused with Kalman filter in UWB indoor positioning

Y Tian, Z Lian, P Wang, M Wang, Z Yue, H Chai - Scientific reports, 2024 - nature.com
Ultra-wideband technology has good anti-interference capabilities and development
prospects in indoor positioning. Since ultra-wideband will be affected by random errors in …

Improving classification accuracy of hand gesture recognition based on 60 GHz FMCW radar with deep learning domain adaptation

HR Lee, J Park, YJ Suh - Electronics, 2020 - mdpi.com
With the recent development of small radars with high resolution, various human–computer
interaction (HCI) applications using them have been developed. In particular, a method of …

A lightweight CIR-based CNN with MLP for NLOS/LOS identification in a UWB positioning system

M Si, Y Wang, H Siljak, C Seow… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Implementing line-of-sight (LOS) and none-line-of-sight (NLOS) identification in ultra-
wideband (UWB) systems is crucial. Convolutional neural network (CNN) based …

Deep gated recurrent unit-based 3D localization for UWB systems

DTA Nguyen, J Joung, X Kang - Ieee Access, 2021 - ieeexplore.ieee.org
The localization system has been extensively studied because of its diverse applicability, for
example, in the Internet of Things, automatic management, and unmanned aerial vehicle …

Improved extreme learning machine based UWB positioning for mobile robots with signal interference

J Ma, X Duan, C Shang, M Ma, D Zhang - Machines, 2022 - mdpi.com
For the purpose of tackling ultra-wideband (UWB) indoor positioning with signal
interference, a binary classifier for signal interference discrimination and positioning errors …

VIUNet: deep visual–inertial–UWB fusion for indoor UAV localization

PY Kao, HJ Chang, KW Tseng, T Chen, HL Luo… - IEEE …, 2023 - ieeexplore.ieee.org
Camera, inertial measurement unit (IMU), and ultra-wideband (UWB) sensors are
commonplace solutions to unmanned aerial vehicle (UAV) localization problems. The …

High-precision RTT-based indoor positioning system using RCDN and RPN

JH Seong, SH Lee, WY Kim, DH Seo - Sensors, 2021 - mdpi.com
Wi-Fi round-trip timing (RTT) was applied to indoor positioning systems based on distance
estimation. RTT has a higher reception instability than the received signal strength indicator …

[HTML][HTML] Ranging Offset Calibration and Moving Average Filter Enhanced Reliable UWB Positioning in Classic User Environments

J Liu, Z Gao, Y Li, S Lv, J Liu, C Yang - Remote Sensing, 2024 - mdpi.com
With the rapid development of the Internet of Things (IoT), the positioning accuracy
requirement of the IoT is increasing, especially for those applications without Global …