Results 51 to 60 of about 2,647 (173)
In recent years, location-based services have been receiving increasing attention because of their great development prospects. Researchers from all over the world have proposed many solutions for indoor positioning over the past several years.
Ke Han +3 more
doaj +1 more source
TranQuiL: Long Range Detection and Localization of Interference in Radio Quiet Zones
Abstract Radio Quiet Zones (RQZs) have been established to prevent radio sources from causing harmful interference to sensitive radio telescopes, which study extremely faint cosmic radio waves. Even with strict regulations, such interference is growing due to the widespread use of consumer electronics, emitting in many different frequency bands ...
Atul Bansal +5 more
wiley +1 more source
Enhancing CNN Path Loss Estimation Performance using Satellite Image and Distance Feature
Fine‐tuning a pretrained VGG‐16 accommodates efficient model retraining. Including distance feature improves path loss (PL) estimation accuracy and efficiency. The distance information is best supplied in a form in line with the empirical PL model. ABSTRACT We employ convolutional neural networks (CNNs) with distance feature and satellite image for ...
Renata Nur Afifah, Irma Zakia
wiley +1 more source
Measurement and Statistical Analysis of Distinguishable Multipaths in Underground Tunnels
Compared with the line-of-sight (LOS) condition, the multipath effect is more serious in the non-line-of-sight (NLOS) condition. Therefore, the LOS and NLOS identification is necessary for the multipath analysis of signal propagation.
Junchang Sun +4 more
doaj +1 more source
This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra +5 more
wiley +1 more source
LOS and NLOS identification in real indoor environment using deep learning approach
Visibility conditions between antennas, i.e. Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) can be crucial in the context of indoor localization, for which detecting the NLOS condition and further correcting constant position estimation errors or ...
Alicja Olejniczak +4 more
doaj +1 more source
This research proposes a Regularised Hyperparameter Bilevel Optimisation with Continual Learning‐based Deep Neural Network (RHBO‐CLDNN) for beamforming in an Ultra‐Wide Band (UWB) system. The RHBO ensures the hyperparameter efficiency at both upper and lower levels, which allows DNN to fine‐tune the unique characteristics of the UWB system, which leads
Pradeep Kumar Siddanna +2 more
wiley +1 more source
An Indoor Robust Localization Algorithm Based on Data Association Technique
As a key technology of the Internet of Things, wireless sensor network (WSN) has been used widely in indoor localization systems. However, when the sensor is transmitting signals, it is affected by the non-line-of-sight (NLOS) transmission, and the ...
Long Cheng +3 more
doaj +1 more source
Secure Transmission in ISAC Systems Aided by Active STAR‐RIS
This paper investigates the secure transmission problem in an active simultaneous transmitting and reflecting intelligent reflecting surfaces (STAR‐RIS)‐aided integrated sensing and communication downlink system. Our objective is to maximize the sum secrecy rate by jointly optimizing the base station beamforming vectors, the sensing signal covariance ...
Baofeng Ji, Xinhao Guo, Shahid Mumtaz
wiley +1 more source
This study presents a Strength Pareto Evolutionary Algorithm 2 (SPEA2)‐based multi‐objective framework for optimised deployment of drone base stations (DBSs) in Internet of Things (IoT) networks. The model simultaneously enhances user coverage and reduces path loss under realistic urban propagation conditions. Results confirm the framework's ability to
Ahmed Qabel Fahem +2 more
wiley +1 more source

