DocumentCode :
2596357
Title :
A hybrid technique for EMI prediction and channel modeling inside an enclosed space
Author :
Bui, V.P. ; Zhao, Wei-Jiang ; Wang, B.F. ; Li, E.P.
Author_Institution :
Inst. of High Performance Comput. (IHPC), A*STAR, Singapore, Singapore
fYear :
2012
fDate :
21-24 May 2012
Firstpage :
793
Lastpage :
796
Abstract :
In this paper, modeling of electromagnetic field distribution inside an electrically large closed environment is presented by using a hybrid simulation technique, which combines a full-wave method and an asymptotic technique. In the hybrid scheme, the Method of Moments is used to model the transmitting/receiving antennas and their nearby objects. The equivalent sources obtained from the MoM solution will be provided as input to an adaptive ray tracing technique for computing the long distance coupling between a pair of transmitting and receiving antennas. Base on this model, the radio channel characteristics of a wireless network deployed in an enclosed space as well as the levels of EMI produced from the network infrastructure can be estimated and predicted. The simulation results of an in-cabin wireless system show the capability of the presented hybrid model.
Keywords :
electromagnetic interference; method of moments; radio networks; receiving antennas; transmitting antennas; wireless channels; EMI prediction; MoM solution; adaptive ray tracing technique; asymptotic technique; channel modeling; electrically large closed environment; electromagnetic field distribution; enclosed space; full-wave method; hybrid simulation technique; in-cabin wireless system; method of moments; network infrastructure; radio channel; transmitting-receiving antennas; wireless network; Adaptation models; Antenna measurements; Atmospheric modeling; Computational modeling; Frequency measurement; Interference; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electromagnetic Compatibility (APEMC), 2012 Asia-Pacific Symposium on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-1557-0
Electronic_ISBN :
978-1-4577-1558-7
Type :
conf
DOI :
10.1109/APEMC.2012.6238013
Filename :
6238013
Link To Document :
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