{"title":"基于简化测量集的TR-MUSIC相控阵诊断方法","authors":"Mario Del Prete","doi":"10.1109/PIERS59004.2023.10221538","DOIUrl":null,"url":null,"abstract":"In this paper, the problem of planar phased array antenna diagnostics from near-field measurements is addressed by a Time Reversal-MUltiple SIgnal Classification (TR-MUSIC) based algorithm using a steering diversity. It is shown that the number of degrees of freedom limits the diagnostic scenarios in which the TR-MUSIC works. A difference model allows to overcome this limitation and at the same time can reduce the data required for diagnostics. Finally, numerical examples show the effectiveness of the proposed method.","PeriodicalId":354610,"journal":{"name":"2023 Photonics & Electromagnetics Research Symposium (PIERS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Phased Array Diagnostics by TR-MUSIC Approach by a Reduced Set of Measurements\",\"authors\":\"Mario Del Prete\",\"doi\":\"10.1109/PIERS59004.2023.10221538\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the problem of planar phased array antenna diagnostics from near-field measurements is addressed by a Time Reversal-MUltiple SIgnal Classification (TR-MUSIC) based algorithm using a steering diversity. It is shown that the number of degrees of freedom limits the diagnostic scenarios in which the TR-MUSIC works. A difference model allows to overcome this limitation and at the same time can reduce the data required for diagnostics. Finally, numerical examples show the effectiveness of the proposed method.\",\"PeriodicalId\":354610,\"journal\":{\"name\":\"2023 Photonics & Electromagnetics Research Symposium (PIERS)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 Photonics & Electromagnetics Research Symposium (PIERS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIERS59004.2023.10221538\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Photonics & Electromagnetics Research Symposium (PIERS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIERS59004.2023.10221538","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Phased Array Diagnostics by TR-MUSIC Approach by a Reduced Set of Measurements
In this paper, the problem of planar phased array antenna diagnostics from near-field measurements is addressed by a Time Reversal-MUltiple SIgnal Classification (TR-MUSIC) based algorithm using a steering diversity. It is shown that the number of degrees of freedom limits the diagnostic scenarios in which the TR-MUSIC works. A difference model allows to overcome this limitation and at the same time can reduce the data required for diagnostics. Finally, numerical examples show the effectiveness of the proposed method.
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