Hybrid technique combining the backward ray tracing and the FDTD method

2014 ◽  
Author(s):  
Bartosz Reichel ◽  
Tomasz P. Stefanski
Keyword(s):  
Ray Tracing ◽  
Fdtd Method ◽  
Hybrid Technique

scholarly journals Study of the Optical Properties of Multi-Particle Phosphors by the FDTD and Ray Tracing Combined Method

Photonics ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 126
Author(s):  
Xinrui Ding ◽  
Changkun Shao ◽  
Shudong Yu ◽  
Binhai Yu ◽  
Zongtao Li ◽  
...  
Keyword(s):  
Optical Properties ◽  
Ray Tracing ◽  
Large Scale ◽  
Fdtd Method ◽  
Particle Method ◽  
Previous Method ◽  
Scattering Data ◽  
Particle Scattering ◽  
Scattering Parameter ◽  
Light Emitting

It is well known that the optical properties of multi-particle phosphor are crucial to the light performance of white light-emitting diodes (LEDs). Note that the optical properties including scattering or absorption properties for a single particle are easy to be calculated. However, due to the large computation considering the complicated re-scattering and re-absorption, it is difficult to calculate the scattering behaviors of the multi-particles. A common method to reduce the computation, which can cause unknown deviations, is to replace the multi-particle scattering properties by using the average scattering data of single particles. In this work, a cluster of multi-phosphor particles are directly simulated by the finite-difference time-domain (FDTD) method. The total scattering data of the cluster was processed as a bulk scattering parameter and imported to the Monte-Carlo ray-tracing (RT) method to realize a large-scale multi-particle scattering calculation. A polynomial mathematical model was built according to the multi-particle scattering data. An experiment was carried out for verifying the accuracy of the method in this work. The mean absolute percentages of the previous method are 1.68, 2.06, and 1.22 times larger than the multi-particle method compared with the experimental curves, respectively.

scholarly journals Hybrid Ray-Tracing/FDTD Method for Human Exposure Evaluation of a Massive MIMO Technology in an Industrial Indoor Environment

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 21020-21031 ◽  
Author(s):  
Sergei Shikhantsov ◽  
Arno Thielens ◽  
Gunter Vermeeren ◽  
Emmeric Tanghe ◽  
Piet Demeester ◽  
...  
Keyword(s):  
Ray Tracing ◽  
Massive Mimo ◽  
Human Exposure ◽  
Indoor Environment ◽  
Fdtd Method ◽  
Exposure Evaluation ◽  
Mimo Technology

scholarly journals Enhancement of Localization Systems in NLOS Urban Scenario with Multipath Ray Tracing Fingerprints and Machine Learning

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 4073 ◽  
Author(s):  
Marcelo N. de Sousa ◽  
Reiner S. Thomä
Keyword(s):  
Machine Learning ◽  
Ray Tracing ◽  
Position Estimation ◽  
Hybrid Technique ◽  
Learning Framework ◽  
Urban Scenario ◽  
Localization Performance ◽  
Ray Tracing Simulation ◽  
Propagation Scenario ◽  
Localization Systems

A hybrid technique is proposed to enhance the localization performance of a time difference of arrival (TDOA) deployed in non-line-of-sight (NLOS) suburban scenario. The idea was to use Machine Learning framework on the dataset, produced by the ray tracing simulation, and the Channel Impulse Response estimation from the real signal received by each sensor. Conventional localization techniques mitigate errors trying to avoid NLOS measurements in processing emitter position, while the proposed method uses the multipath fingerprint information produced by ray tracing (RT) simulation together with calibration emitters to refine a Machine Learning engine, which gives an extra layer of information to improve the emitter position estimation. The ray-tracing fingerprints perform the target localization embedding all the reflection and diffraction in the propagation scenario. A validation campaign was performed and showed the feasibility of the proposed method, provided that the buildings can be appropriately included in the scenario description.

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