NLOS Identification and Mitigation for Time-based Indoor Localization Systems: Survey and Future Research Directions

RE Nkrow, B Silva, D Boshoff, G Hancke… - ACM Computing …, 2024 - dl.acm.org
One hurdle to accurate indoor localization using time-based networks is the presence of
Non-Line-Of-Sight (NLOS) and multipath signals, affecting the accuracy of ranging in indoor …

[HTML][HTML] Deep learning for counting people from UWB channel impulse response signals

G Lee, S An, BJ Jang, S Lee - Sensors, 2023 - mdpi.com
The use of higher frequency bands compared to other wireless communication protocols
enhances the capability of accurately determining locations from ultra-wideband (UWB) …

SALLoc: An Accurate Target Localization In Wifi-Enabled Indoor Environments Via Sae-Alstm

SL Ayinla, A Abd Aziz, M Drieberg - IEEE Access, 2024 - ieeexplore.ieee.org
Developing a reliable and accurate indoor localization system is a crucial step for creating a
seamless and interactive user-device experience in nearly all intelligent internet of things …

WiFi 5GHz CSI-Based Single-AP Localization with Centimeter-Level Median Error

SN Shoudha, S Helwa, JP Van Marter, M Torlak… - IEEE …, 2023 - ieeexplore.ieee.org
Localization schemes based on one-way Channel Frequency Response (CFR) are limited
in terms of the available coherent bandwidth due to random timing and phase offsets. Two …

[HTML][HTML] A hybrid indoor altimetry based on barometer and uwb

M Si, Y Wang, N Zhou, C Seow, H Siljak - Sensors, 2023 - mdpi.com
Accurate altimetry is essential for location-based services in commercial and industrial
applications. However, current altimetry methods only provide low-accuracy measurements …

[PDF][PDF] 单目视觉空间移动靶位姿测量方法研究

刘其林, 董明利, 孙鹏, 燕必希, 祝连庆 - 仪器仪表学报, 2023 - jemi.cnjournals.com
为向室内定位技术定位精度及抗干扰能力提供高精度数据对比标准, 提出单目视觉空间移动靶位
姿测量方法. 结合机器视觉投影矩阵求解与摄影测量后方交会技术, 实现任意靶位姿下的相机外 …

FM-Based Positioning via Deep Learning

S Zheng, J Hu, L Zhang, K Qiu, J Chen… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
Frequency Modulation (FM) broadcast signals, regarded as opportunistic signals, hold
significant potential for indoor and outdoor positioning applications. The existing FM-based …

Bayesian Meta-Learning: Towards Fast Adaptation in Neural Network Positioning Techniques

Q Pu, Y Chen, M Zhou, JKY Ng… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Neural network positioning technology, as one of the mainstream in indoor Wi-Fi positioning
systems, is playing an increasingly important role in location-based services. The main …

Exploiting 2D Representations for Enhanced Indoor Localization: A Transfer Learning Approach

O Kerdjidj, Y Himeur, S Atalla, A Copiaco… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Indoor localization systems predominantly depend on one-dimensional signal
measurements, such as the Received Signal Strength Indication (RSSI) from Bluetooth or …

UI-MoCap: An Integrated UWB-IMU Circuit Enables 3D Positioning and Enhances IMU Data Transmission

W Zhong, L Zhang, Z Sun, M Dong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
While inertial measurement unit (IMU)-based motion capture (MoCap) systems have been
gaining popularity for human movement analysis, they still suffer from long-term positioning …