R. Asif, M. Usman, T. Ghazaany, A. Hussaini, R. Abd‐Alhameed, S. R. Jones, J. Noras, Jonathan Rodriguez
{"title":"基于到达角技术的评价","authors":"R. Asif, M. Usman, T. Ghazaany, A. Hussaini, R. Abd‐Alhameed, S. R. Jones, J. Noras, Jonathan Rodriguez","doi":"10.1109/IDT.2013.6727085","DOIUrl":null,"url":null,"abstract":"In this work we present the angle of arrival estimation techniques and their comparison at different values of SNR using a 5 element UCA. The techniques that have been considered include phase interferometry, Multiple Signal Classification and covariance. The results show that for very low values of SNR the performance of the covariance matrix based algorithm is the best but for slightly higher values of SNR, MUSIC algorithm outperforms covariance.","PeriodicalId":446826,"journal":{"name":"2013 8th IEEE Design and Test Symposium","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Evaluation of the angle of arrival based techniques\",\"authors\":\"R. Asif, M. Usman, T. Ghazaany, A. Hussaini, R. Abd‐Alhameed, S. R. Jones, J. Noras, Jonathan Rodriguez\",\"doi\":\"10.1109/IDT.2013.6727085\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work we present the angle of arrival estimation techniques and their comparison at different values of SNR using a 5 element UCA. The techniques that have been considered include phase interferometry, Multiple Signal Classification and covariance. The results show that for very low values of SNR the performance of the covariance matrix based algorithm is the best but for slightly higher values of SNR, MUSIC algorithm outperforms covariance.\",\"PeriodicalId\":446826,\"journal\":{\"name\":\"2013 8th IEEE Design and Test Symposium\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 8th IEEE Design and Test Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IDT.2013.6727085\",\"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 8th IEEE Design and Test Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IDT.2013.6727085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of the angle of arrival based techniques
In this work we present the angle of arrival estimation techniques and their comparison at different values of SNR using a 5 element UCA. The techniques that have been considered include phase interferometry, Multiple Signal Classification and covariance. The results show that for very low values of SNR the performance of the covariance matrix based algorithm is the best but for slightly higher values of SNR, MUSIC algorithm outperforms covariance.