{"title":"基于稀疏大孔径阵列的快速AOA估计","authors":"Peter Q. C. Ly, S. D. Elton, Joy Li, D. Gray","doi":"10.1109/RADAR.2013.6652043","DOIUrl":null,"url":null,"abstract":"Angle-of-arrival (AOA) estimation algorithms for electronic surveillance systems are often required to be accurate, computationally fast and implemented using sparse large aperture arrays. This paper considers the speed and accuracy of the SODA and SBI interferometers [1, 2] in the context of sparse large aperture arrays and compares their performance to the conventional phaseshift beamformer and MUSIC algorithm. The performance of the algorithms will be compared through simulation and verified using experimental data.","PeriodicalId":365285,"journal":{"name":"2013 International Conference on Radar","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Computationally fast AOA estimation using sparse large aperture arrays for electronic surveillance\",\"authors\":\"Peter Q. C. Ly, S. D. Elton, Joy Li, D. Gray\",\"doi\":\"10.1109/RADAR.2013.6652043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Angle-of-arrival (AOA) estimation algorithms for electronic surveillance systems are often required to be accurate, computationally fast and implemented using sparse large aperture arrays. This paper considers the speed and accuracy of the SODA and SBI interferometers [1, 2] in the context of sparse large aperture arrays and compares their performance to the conventional phaseshift beamformer and MUSIC algorithm. The performance of the algorithms will be compared through simulation and verified using experimental data.\",\"PeriodicalId\":365285,\"journal\":{\"name\":\"2013 International Conference on Radar\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Radar\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2013.6652043\",\"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 International Conference on Radar","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2013.6652043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computationally fast AOA estimation using sparse large aperture arrays for electronic surveillance
Angle-of-arrival (AOA) estimation algorithms for electronic surveillance systems are often required to be accurate, computationally fast and implemented using sparse large aperture arrays. This paper considers the speed and accuracy of the SODA and SBI interferometers [1, 2] in the context of sparse large aperture arrays and compares their performance to the conventional phaseshift beamformer and MUSIC algorithm. The performance of the algorithms will be compared through simulation and verified using experimental data.