{"title":"The techniques to accelerate solving electromagnetic scattering over wide angles based on prior knowledge of excitations","authors":"Xinyuan Cao, Mingsheng Chen, Xianliang Wu, M. Kong, Liang Zhang, Qi Qi","doi":"10.1109/EDAPS.2017.8277022","DOIUrl":null,"url":null,"abstract":"Rapid calculation of electromagnetic scattering problems over a wide incident angle range is always a difficult subject in computational electromagnetics. Recently, as compressed sensing was introduced into method of moments, a fast algorithm for analyzing electromagnetic scattering characteristics illuminated by waves from multiple incident angles was proposed. This paper takes excitation matrix as prior knowledge and provides three accelerating techniques to the algorithm. The principle is described in detail, and numerical results are presented to show the efficiencies.","PeriodicalId":329279,"journal":{"name":"2017 IEEE Electrical Design of Advanced Packaging and Systems Symposium (EDAPS)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Electrical Design of Advanced Packaging and Systems Symposium (EDAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDAPS.2017.8277022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Rapid calculation of electromagnetic scattering problems over a wide incident angle range is always a difficult subject in computational electromagnetics. Recently, as compressed sensing was introduced into method of moments, a fast algorithm for analyzing electromagnetic scattering characteristics illuminated by waves from multiple incident angles was proposed. This paper takes excitation matrix as prior knowledge and provides three accelerating techniques to the algorithm. The principle is described in detail, and numerical results are presented to show the efficiencies.