Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2011 XXXth URSI General Assembly and Scientific Symposium |
| Publikationsstatus | Veröffentlicht - 2011 |
| Veranstaltung | 2011 30th URSI General Assembly and Scientific Symposium, URSIGASS 2011 - Istanbul, Türkei Dauer: 13 Aug. 2011 → 20 Aug. 2011 |
Abstract
The knowledge of electromagnetic interferences plays a significant role in today's research and development. However, the actual realization of large systems may vary or even be unknown. Hence, the electromagnetic field of the system has to be estimated statistically. Therefore this paper describes how a statistical field simulation of the electromagnetic field of the system can be accomplished by modeling the system with subsystems and varying the parameters of these subsystems.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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- BibTex
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2011 XXXth URSI General Assembly and Scientific Symposium. 2011. 6050693.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - On the Use of the Monte Carlo Method for Electromagnetic Field Simulation
AU - Kreth, Adrian
AU - Döring, Oliver
AU - Genender, Evgeni
AU - Garbe, Heyno
PY - 2011
Y1 - 2011
N2 - The knowledge of electromagnetic interferences plays a significant role in today's research and development. However, the actual realization of large systems may vary or even be unknown. Hence, the electromagnetic field of the system has to be estimated statistically. Therefore this paper describes how a statistical field simulation of the electromagnetic field of the system can be accomplished by modeling the system with subsystems and varying the parameters of these subsystems.
AB - The knowledge of electromagnetic interferences plays a significant role in today's research and development. However, the actual realization of large systems may vary or even be unknown. Hence, the electromagnetic field of the system has to be estimated statistically. Therefore this paper describes how a statistical field simulation of the electromagnetic field of the system can be accomplished by modeling the system with subsystems and varying the parameters of these subsystems.
UR - http://www.scopus.com/inward/record.url?scp=81255154217&partnerID=8YFLogxK
U2 - 10.1109/URSIGASS.2011.6050693
DO - 10.1109/URSIGASS.2011.6050693
M3 - Conference contribution
AN - SCOPUS:81255154217
SN - 9781424451173
BT - 2011 XXXth URSI General Assembly and Scientific Symposium
T2 - 2011 30th URSI General Assembly and Scientific Symposium, URSIGASS 2011
Y2 - 13 August 2011 through 20 August 2011
ER -