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Study Of The Key Technology In Parallel Physical Optics

Posted on:2018-04-19Degree:MasterType:Thesis
Country:ChinaCandidate:J W JiaFull Text:PDF
GTID:2348330542950287Subject:Engineering
Abstract/Summary:PDF Full Text Request
In practical application of modern electromagnetism,the analysis of radar cross section(RCS)of electrically large target is always of importance.Calculation of RCS with speed and efficiency play an important role in both social production and national defense construction.With the development of radar detection technology,the high frequency detection radar has gradually entered our field of view,and also proposed higher standard for the target stealth performance.When the target is illuminated by high-frequency electromagnetic wave,the size of the target becomes large compared to wavelength which we call electrically large target.In electrically large environment,more computation and more resources for restoration will be needed.This thesis presents the calculation of RCS by Physic Optics method.Basic theory of PO is presented and electromagnetic scattering of electrically large targets mounted on half space as well as that of electrically large targets with coated absorbing material are calculated.Parallel scheme of PO method is studied according to characteristics of basic algorithm and practical usage to reduce the cost of time with efficiency.Typical examples given in this thesis and the reliability of the presented method can be approved by comparison of results to commercial software.With the increase of frequency,computation cost of time increases greatly.Therefore the time consuming part in PO method is studied and improved to try to analysis RCS of electrically large targets with shorter time.On the other hand,by applying the parallel computing technology to high performance computer cluster,request of storage for data can be reduced as well as the cost of time can be lowered,which guarantees the possibility of faster RCS analyzing.
Keywords/Search Tags:Physical Optics, Radar Cross Section, Parallel Computing, Occlusion Identification
PDF Full Text Request
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