{"title":"基于稀疏性的阵列诊断干扰滤波技术研究","authors":"M. Migliore, L. L. Coq, B. Fuchs","doi":"10.1109/IWMN.2017.8078367","DOIUrl":null,"url":null,"abstract":"The aim of this contribution is to discuss an environmental filtering technique in array diagnosis. The basic idea is to distinguish the array contribution from the interference field using sparsity as discriminant by means of differential measurement technique. Basically, the field associated to the fault elements is separated by the field radiated by interference source using a mixed minimum ℓ1 norm and trace norm minimization. Numerical examples show the potential of the technique.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"12 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An investigation on an interference filtering technique for array diagnosis using sparsity\",\"authors\":\"M. Migliore, L. L. Coq, B. Fuchs\",\"doi\":\"10.1109/IWMN.2017.8078367\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this contribution is to discuss an environmental filtering technique in array diagnosis. The basic idea is to distinguish the array contribution from the interference field using sparsity as discriminant by means of differential measurement technique. Basically, the field associated to the fault elements is separated by the field radiated by interference source using a mixed minimum ℓ1 norm and trace norm minimization. Numerical examples show the potential of the technique.\",\"PeriodicalId\":201479,\"journal\":{\"name\":\"2017 IEEE International Workshop on Measurement and Networking (M&N)\",\"volume\":\"12 6\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Workshop on Measurement and Networking (M&N)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWMN.2017.8078367\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Workshop on Measurement and Networking (M&N)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWMN.2017.8078367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An investigation on an interference filtering technique for array diagnosis using sparsity
The aim of this contribution is to discuss an environmental filtering technique in array diagnosis. The basic idea is to distinguish the array contribution from the interference field using sparsity as discriminant by means of differential measurement technique. Basically, the field associated to the fault elements is separated by the field radiated by interference source using a mixed minimum ℓ1 norm and trace norm minimization. Numerical examples show the potential of the technique.
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