激励与压缩感知结合在单稳态散射快速计算中的应用

2013 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference Pub Date : 2013-07-21 DOI:10.1109/CSQRWC.2013.6657371

Xin He, Jun Hu, Z. Nie

{"title":"激励与压缩感知结合在单稳态散射快速计算中的应用","authors":"Xin He, Jun Hu, Z. Nie","doi":"10.1109/CSQRWC.2013.6657371","DOIUrl":null,"url":null,"abstract":"This paper introduces a new-type combination of excitations to reduce the amount of data needed for monostatic excitation vectors, instead of multiple excitations over a wide angle. And based on MLFMA we used Compressive Sensing (CS) technique to recover original signal. Numerical results demonstrate that the combination of excitations is efficient to solve 3D monostatic scattering problems.","PeriodicalId":355180,"journal":{"name":"2013 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference","volume":"414 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Application of combination of excitations and compressed sensing for fast computation of monostatic scattering\",\"authors\":\"Xin He, Jun Hu, Z. Nie\",\"doi\":\"10.1109/CSQRWC.2013.6657371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a new-type combination of excitations to reduce the amount of data needed for monostatic excitation vectors, instead of multiple excitations over a wide angle. And based on MLFMA we used Compressive Sensing (CS) technique to recover original signal. Numerical results demonstrate that the combination of excitations is efficient to solve 3D monostatic scattering problems.\",\"PeriodicalId\":355180,\"journal\":{\"name\":\"2013 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference\",\"volume\":\"414 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSQRWC.2013.6657371\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSQRWC.2013.6657371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 10

摘要

本文介绍了一种新型的激励组合，以减少单静态激励矢量所需的数据量，而不是在一个广角上的多个激励。在MLFMA的基础上，采用压缩感知(CS)技术恢复原始信号。数值结果表明，组合激励是解决三维单稳态散射问题的有效方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Application of combination of excitations and compressed sensing for fast computation of monostatic scattering

This paper introduces a new-type combination of excitations to reduce the amount of data needed for monostatic excitation vectors, instead of multiple excitations over a wide angle. And based on MLFMA we used Compressive Sensing (CS) technique to recover original signal. Numerical results demonstrate that the combination of excitations is efficient to solve 3D monostatic scattering problems.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2013 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference

自引率

0.00%

发文量