scholarly journals Monte Carlo simulations for non-line-of-sight ultraviolet scattering coverage area

2012 ◽  
Vol 61 (11) ◽  
pp. 114208
Author(s):  
Zhao Tai-Fei ◽  
Ke Xi-Zheng
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Line Of Sight ◽  
Coverage Area ◽  
Non Line Of Sight ◽  
Ultraviolet Scattering

Turbulence modeling for non-line-of-sight ultraviolet scattering channels

2011 ◽  
Author(s):  
Haipeng Ding ◽  
Gang Chen ◽  
Arun K. Majumdar ◽  
Brian M. Sadler ◽  
Zhengyuan Xu
Keyword(s):  
Turbulence Modeling ◽  
Line Of Sight ◽  
Non Line Of Sight ◽  
Ultraviolet Scattering

Performances of Non-Line-of-Sight Ultraviolet Multi-Scatter Propagation for Noncoplanar Geometries

2012 ◽  
Vol 571 ◽  
pp. 214-218
Author(s):  
Yi Nan Tang ◽  
Xiao Ping Xie ◽  
Wei Zhao
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Impulse Response ◽  
Mathematical Description ◽  
Pulse Width ◽  
Path Loss ◽  
Propagation Model ◽  
Line Of Sight ◽  
Non Line Of Sight

A multi-scatter propagation model based on Monte Carlo method is presented. This model can be applied to all the geometries, including coplanar or noncoplanar scenario. The mathematical description of this model is deduced. We obtain the spatial positions of photon with three Cartesian coordinates after each propagation step and the received judgment conditions. Employing a photon tracing technique, Monte Carlo simulation is performed to investigate the signal impulse response and the path loss. The results indicate that, when the off-axis angle increases, the amplitude of the impulse response decreases, while the path loss increases. In addition, it is observed that the pulse width increases with the off-axis angle.

scholarly journals A Localization and Tracking Approach in NLOS Environment Based on Distance and Angle Probability Model

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4438 ◽  
Author(s):  
Xin Tian ◽  
Guoliang Wei ◽  
Jianhua Wang ◽  
Dianchen Zhang
Keyword(s):  
Monte Carlo ◽  
Kalman Filtering ◽  
Probability Model ◽  
Likelihood Estimation ◽  
Line Of Sight ◽  
Extended Kalman Filtering ◽  
Optimal Position ◽  
Localization Accuracy ◽  
Localization And Tracking ◽  
Non Line Of Sight

In this paper, an optimization algorithm is presented based on a distance and angle probability model for indoor non-line-of-sight (NLOS) environments. By utilizing the sampling information, a distance and angle probability model is proposed so as to identify the NLOS propagation. Based on the established model, the maximum likelihood estimation (MLE) method is employed to reduce the error of distance in the NLOS propagation. In order to reduce the computational complexity, a modified Monte Carlo method is applied to search the optimal position of the target. Moreover, the extended Kalman filtering (EKF) algorithm is introduced to achieve localization. The simulation and experimental results show the effectiveness of the proposed algorithm in the improvement of localization accuracy.

Correction to "Modeling of Non-Line-of-Sight Ultraviolet Scattering Channels for Communication" [Dec 09 1535-1544]

2011 ◽  
Vol 29 (1) ◽  
pp. 250-250 ◽  
Author(s):  
Haipeng Ding ◽  
Gang Chen ◽  
Arun K. Majumdar ◽  
Brian M. Sadler ◽  
Zhengyuan Xu
Keyword(s):  
Line Of Sight ◽  
Non Line Of Sight ◽  
Ultraviolet Scattering

scholarly journals BL LAC POPULATION STUDY: EARLY RESULTS USING THE Fermi 11-MONTH CATALOG

2012 ◽  
Vol 08 ◽  
pp. 327-330
Author(s):  
LUCIE GÉRARD ◽  
SANTIAGO PITA ◽  
MICHAEL PUNCH ◽  
GILLES HENRI
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Lorentz Factor ◽  
Line Of Sight ◽  
Opening Angle ◽  
Parent Population ◽  
Early Results ◽  
Bl Lac ◽  
Source Sample ◽  
Bl Lacs

In the framework of AGN unification, BL Lacs and their parent population would share the same intrinsic characteristics, the observational differences being due to the orientation of the jet compared to our line of sight. BL Lacs would be those objects whose jet is oriented towards us, Doppler boosting the emission. The growing number of BL Lacs detected at HE (> 100 MeV) and VHE (> 100 GeV) is a challenge for this scheme, since the high values of Doppler factors needed to explain the emission of these sources imply a large density for the parent population. We studied the BL Lac source sample detected by Fermi after 11 months of observation. Using the data presented in Fermi's first AGN catalog, we put constraints on the intrinsic characteristics of this BL Lac population, such as the intrinsic luminosity and Lorentz factor distributions. Based on these results, we used Monte Carlo simulations to constrain the space density of the parent population and the jet opening angle.

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