Baozhu Li, J. Yao, W. Ke, Wanchun Tang, M. Salucci, P. Rocca
{"title":"基于混合序贯实验设计的全变分压缩感知野外重建","authors":"Baozhu Li, J. Yao, W. Ke, Wanchun Tang, M. Salucci, P. Rocca","doi":"10.23919/ACES48530.2019.9060585","DOIUrl":null,"url":null,"abstract":"An innovative approach for the two-dimensional (2D) far-field strength reconstruction from a reduced number of measurements without any prior knowledge on the source antenna is proposed. The developed methodology is based on the effective integration of a sequential experimental design (SED) strategy with a total variation compressive sensing (TV-CS) technique. Thanks to the SED, more samples are generated near highly non-linear regions of the field distribution, resulting in a more accurate reconstruction by means of the TV-CS. A set of numerical experiments is provided to assess the potentialities and features of the proposed method.","PeriodicalId":247909,"journal":{"name":"2019 International Applied Computational Electromagnetics Society Symposium - China (ACES)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Total-Variation Compressive Sensing Based on Hybrid Sequential Experimental Design for Field Reconstruction\",\"authors\":\"Baozhu Li, J. Yao, W. Ke, Wanchun Tang, M. Salucci, P. Rocca\",\"doi\":\"10.23919/ACES48530.2019.9060585\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An innovative approach for the two-dimensional (2D) far-field strength reconstruction from a reduced number of measurements without any prior knowledge on the source antenna is proposed. The developed methodology is based on the effective integration of a sequential experimental design (SED) strategy with a total variation compressive sensing (TV-CS) technique. Thanks to the SED, more samples are generated near highly non-linear regions of the field distribution, resulting in a more accurate reconstruction by means of the TV-CS. A set of numerical experiments is provided to assess the potentialities and features of the proposed method.\",\"PeriodicalId\":247909,\"journal\":{\"name\":\"2019 International Applied Computational Electromagnetics Society Symposium - China (ACES)\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Applied Computational Electromagnetics Society Symposium - China (ACES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ACES48530.2019.9060585\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Applied Computational Electromagnetics Society Symposium - China (ACES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACES48530.2019.9060585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Total-Variation Compressive Sensing Based on Hybrid Sequential Experimental Design for Field Reconstruction
An innovative approach for the two-dimensional (2D) far-field strength reconstruction from a reduced number of measurements without any prior knowledge on the source antenna is proposed. The developed methodology is based on the effective integration of a sequential experimental design (SED) strategy with a total variation compressive sensing (TV-CS) technique. Thanks to the SED, more samples are generated near highly non-linear regions of the field distribution, resulting in a more accurate reconstruction by means of the TV-CS. A set of numerical experiments is provided to assess the potentialities and features of the proposed method.