Results 21 to 30 of about 17,521 (206)

An Advanced Artificial Fish School Algorithm to Update Decision Tree for NLOS Acoustic Localization Signal Identification with the Dual-Receiving Method

open access: yesApplied Sciences, 2023
For indoor sensor systems, it is essential to implement an extra supporting area notification part. To inform the real-time coordinates, the time difference of arrival (TDOA) algorithm can be introduced.
Ruixiang Kan   +4 more
doaj   +1 more source

HMM-Based tracking of moving terminals in dense multipath indoor environments [PDF]

open access: yes, 2005
This paper deals with the problem of radio localization of moving terminals (MTs) for indoor applications with mixed line-of sight/non-line-of-sight (LOS/NLOS) conditions.
C. Morelli   +3 more
core   +1 more source

Time‐varying non‐line‐of‐sight (NLOS) satellite navigation channel modelling and simulation using multiple point‐scatterers [PDF]

open access: yesIET Radar, Sonar & Navigation, 2022
Abstract Recently, there has been an increasing interest in modelling and simulation of time‐varying (TV) non‐line‐of‐sight (NLOS) channels for global navigation satellite systems (GNSS) as an assisted means of resolving the GNSS urban canyon problem.
Shun Zhou   +3 more
openaire   +2 more sources

Research Progress of Non-line-of-sight Underwater Wireless Optical Communication Technology

open access: yesGuangtongxin yanjiu, 2023
Non-Line-of-Sight (NLOS) Underwater Wireless Optical Communication (UWOC) is mainly realized through the air-seawater interface reflection or the scattering of light by particles in seawater.
KONG Mei-wei   +5 more
doaj  

Non-line-of-sight Imaging

open access: yes, 2020
Emerging single-photon-sensitive sensors combined with advanced inverse methods to process picosecond-accurate time-stamped photon counts have given rise to unprecedented imaging capabilities.
Faccio, D., Velten, A., Wetzstein, G.
core   +1 more source

Accurate Empirical Path Loss Models with Route Classification for mmWave Communications

open access: yesInternational Journal of Antennas and Propagation, 2022
This paper presents accurate empirical path loss models with route classification for the high band frequency of 5 G wireless. Propagation path routes are mainly classified into line of sight (LOS) and non-line-of-sight (NLOS).
Supachai Phaiboon, Pisit Phokharatkul
doaj   +1 more source

Target tracking with line-of-sight identification in sensor networks under unknown measurement noises [PDF]

open access: yes, 2009
—Tracking a target is a fundamental and crucial problem in wireless sensor networks. It is well known that non-line-of-sight (NLOS) propagation will significantly degrade the tracking accuracy if its effects are ignored.
H. C. So, H. Q. Liu
core   +1 more source

2GHz MIMO channel model from experimental outdoor data analysis in UMTS [PDF]

open access: yes, 2003
The key objective of this work was to obtain a MIMO model for a line of sight (LOS) channel component as well as the covariance matrix for a non-LOS deployment.
Beach, MA   +4 more
core   +2 more sources

Indoor wireless channel modeling from 2.4 to 24 GHz using a combined E/H-Plane 2D ray tracing method [PDF]

open access: yes, 2004
Future wireless systems are moving to high frequencies for additional bandwidth and frequency reuse. This makes it very important to have accurate and time-efficient models for system planning.
Lu, Dai, Rutledge, David
core   +1 more source

Hybrid Beamforming With Sub-arrayed MIMO Radar: Enabling Joint Sensing and Communication at mmWave Band [PDF]

open access: yes, 2018
In this paper, we propose a beamforming design for dual-functional radar-communication (DFRC) systems at the millimeter wave (mmWave) band, where hybrid beamforming and sub-arrayed MIMO radar techniques are jointly exploited.
Liu, Fan, Masouros, Christos
core   +2 more sources

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