scholarly journals AN ONLINE-BASED VISUAL FRAMEWORK OF 3D POSITIONING DATA WITH WIRELESS SIGNAL FOR BURIED PERSONS

2017 ◽  
Author(s):  
HYOUNSEOK MOON ◽  
WOOSIK LEE
Keyword(s):  
Wireless Signal ◽  
3D Positioning

HUMAN GESTURE RECOGNITION USING BISPECTRUM-BASED WIRELESS SIGNAL PROCESSING

2020 ◽  
Vol 79 (1) ◽  
pp. 47-57
Author(s):  
O. G. Viunytskyi ◽  
A. V. Totsky ◽  
Karen O. Egiazarian
Keyword(s):  
Signal Processing ◽  
Gesture Recognition ◽  
Wireless Signal

scholarly journals 3D‐Positioning of Nanoparticles in High‐Curvature Block Copolymer Domains

2021 ◽  
Author(s):  
Vanessa B. Leffler ◽  
Sascha Ehlert ◽  
Beate Förster ◽  
Martin Dulle ◽  
Stephan Förster
Keyword(s):  
Block Copolymer ◽  
3D Positioning

scholarly journals A Comparative Study of 3D UE Positioning in 5G New Radio with a Single Station

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1178
Author(s):  
Bo Sun ◽  
Bo Tan ◽  
Wenbo Wang ◽  
Elena Simona Lohan
Keyword(s):  
Mean Squared Error ◽  
Signal To Noise Ratio ◽  
Time Estimation ◽  
Satellite System ◽  
Base Station ◽  
Rectangular Array ◽  
Single Station ◽  
5G Network ◽  
Autonomous Machines ◽  
3D Positioning

The 5G network is considered as the essential underpinning infrastructure of manned and unmanned autonomous machines, such as drones and vehicles. Besides aiming to achieve reliable and low-latency wireless connectivity, positioning is another function provided by the 5G network to support the autonomous machines as the coexistence with the Global Navigation Satellite System (GNSS) is typically supported on smart 5G devices. This paper is a pilot study of using 5G uplink physical layer channel sounding reference signals (SRSs) for 3D user equipment (UE) positioning. The 3D positioning capability is backed by the uniform rectangular array (URA) on the base station and by the multiple subcarrier nature of the SRS. In this work, the subspace-based joint angle-time estimation and statistics-based expectation-maximization (EM) algorithms are investigated with the 3D signal manifold to prove the feasibility of using SRSs for 3D positioning. The positioning performance of both algorithms is evaluated by estimation of the root mean squared error (RMSE) versus the varying signal-to-noise-ratio (SNR), the bandwidth, the antenna array configuration, and multipath scenarios. The simulation results show that the uplink SRS works well for 3D UE positioning with a single base station, by providing a flexible resolution and accuracy for diverse application scenarios with the support of the phased array and signal estimation algorithms at the base station.

Simulation modeling of free space optical communication system

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ajay Sharma ◽  
Rajinder Singh Kaler
Keyword(s):  
Optical Communication ◽  
Free Space ◽  
Simulation Modeling ◽  
Additive White Gaussian Noise ◽  
Wireless Channel ◽  
Free Space Optical Communication ◽  
Optical Wireless ◽  
Free Space Optical ◽  
Wireless Signal ◽  
Space Optical Communication

Abstract The optical wireless communication has been designed by developing a model with the support of MATLAB simulator using Simulink where channel considered to be a free space. In this model, Additive White Gaussian Noise (AWGN) channel has used to analyze bit error rate (BER) and power loss of optical wireless signal at receiver. The consequence due to turbulence in atmosphere of free space on transmitted signal has examined. The BER and signal power have extremely ruined on rigorous atmospheric unstable condition even for a short distance in an optical wireless channel. The BER of less than 10−3 has been achieved for free space optical communication considered to be an excellent BER for FSO.

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