Open Access System for Information Sharing

Login Library

 

Thesis
Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads
Full metadata record
Files in This Item:
There are no files associated with this item.
DC FieldValueLanguage
dc.contributor.author박규희en_US
dc.date.accessioned2014-12-01T11:46:19Z-
dc.date.available2014-12-01T11:46:19Z-
dc.date.issued2010en_US
dc.identifier.otherOAK-2014-00082en_US
dc.identifier.urihttp://postech.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000000546770en_US
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/584-
dc.descriptionMasteren_US
dc.description.abstractRadar Signature reduction of Wind Turbine Blade must be required to avoid a possible detection from military radar sensors.This paper deals with electromagnetic wave scattering analysis on wind turbine blade using the radar cross section(RCS). RCS prediction is one of the popular and the novel approaches to analyze electromagnetic wave scattering.RCS is the property of a scattering object, or target, that represents the amount of the echo signal reflected from the object to the radar. The techniques to predict RCS can be categorized into the low frequency and the high frequency methods, according to the size of the target with respect to the operating frequency. High frequency methods such as geometrical optics(GO) and physical optics(PO) can be used to predict the specular component of the scattering mechanism and provide fast and robust solutions to scattering from electrically large and complex target.In this paper, a numerical scheme based on PO method is developed to predict RCS of non-perfectly conducting body. Using computational results we analyze the effect of wind turbine blade to obstruct radar signal.en_US
dc.languagekoren_US
dc.publisher포항공과대학교en_US
dc.rightsBY_NC_NDen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.0/kren_US
dc.title비도체 풍력발전 블레이드에 의한 전자파 산란해석en_US
dc.typeThesisen_US
dc.contributor.college정보통신대학원 정보통신학과en_US
dc.date.degree2010- 2en_US
dc.type.docTypeThesis-

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Views & Downloads

Browse