Results 11 to 20 of about 169,205,538 (184)

Joint Particle Filter and UKF Position Tracking in Severe Non-Line-Of-Sight Situations [PDF]

, 2009
The performance of localization techniques in a wireless communication system is severely impaired by biases induced in the range and angle measures because of the non-line-of-sight (NLOS) situation, caused by obstacles in the transmitted signal path ...
Vidal, Josep, Giremus, Audrey, Huerta, Jose M., Huerta, José, Tourneret, Jean-Yves   +4 more
core   +1 more source

NLOS Identification and Positioning Algorithm Based on Localization Residual in Wireless Sensor Networks

Sensors, 2018
The problem of target localization in WSN (wireless sensor network) has received much attention in recent years. However, the performance of traditional localization algorithms will drastically degrade in the non-line of sight (NLOS) environment ...
Jingyu Hua, Yejia Yin, Weidang Lu, Yu Zhang, Feng Li   +4 more
doaj   +1 more source

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

Guangtongxin 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, YUAN He-xiang, WANG Meng-qi, PAN Yan-yan, ZHOU Hui, YANG Qun-hui   +5 more
doaj  

Scatterer information based indoor NLOS multiple base station cooperative localization algorithm

Tongxin xuebao, 2021
In indoor environments, the localization accuracy of existing line of sight (LOS) solutions will deteriorate severely in non-line-of-sight (NLOS) environment.In order to solve this problem, an scatterer information based indoor NLOS multiple base ...
Liangbo XIE, Sheng LI, Mu ZHOU, Ze LI, Zengshan TIAN, Ya WANG, Changyou FU   +6 more
doaj   +2 more sources

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

Applied 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, Mei Wang, Xin Liu, Xiaojuan Liu, Hongbing Qiu   +4 more
doaj   +1 more source

Location Variability Confidence Interval Model Using Statistical Inference for Over-rooftop Paths and Signal Data Classification Method [PDF]

Journal of Electromagnetic Engineering and Science
In this paper, statistical inference is used to predict a practical linear equation for determining signal loss rates over distance in a suburban over-rooftop path under both line-of-sight (LoS) and non-line-of-sight (NLoS) conditions.
Sang-Hoo Yoon, Sang-Wook Park, Young-Keun Yoon, Jong-Ho Kim   +3 more
doaj   +1 more source

Accurate Empirical Path Loss Models with Route Classification for mmWave Communications

International 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

Line-of-sight and non-line-of-sight links for dispersive terahertz wireless networks

APL Photonics, 2021
Despite the rapidly growing interest in exploiting millimeter and terahertz waves for wireless data transfer, the role of reflected non-line-of-sight (NLOS) paths in wireless networking is one of the least explored questions.
Yasaman Ghasempour, Yasith Amarasinghe, Chia-Yi Yeh, Edward Knightly, Daniel M. Mittleman   +4 more
doaj   +1 more source

Engineering-Economic Evaluation of Diffractive NLOS Backhaul (e3nb): A Techno-economic Model for 3D Wireless Backhaul Assessment

IEEE Access, 2022
Developing ways to affordably deliver broadband connectivity is one of the major issues of our time. In challenging deployment locations with irregular terrain, traditional Clear-Line-Of-Sight (CLOS) wireless links can be uneconomical to deploy, as the ...
Edward J. Oughton, Erik Boch, Julius Kusuma   +2 more
doaj   +1 more source

Non-Line-of-Sight Identification Based on Unsupervised Machine Learning in Ultra Wideband Systems

IEEE Access, 2019
Identification of line-of-sight (LOS) and non-line-of-sight (NLOS) propagation conditions is very useful in ultra wideband localization systems. In the identification, supervised machine learning is often used, but it requires exorbitant efforts to ...
Jiancun Fan, Ahsan Saleem Awan
doaj   +1 more source