{"title":"DOA Estimation by Virtual-ESPRIT Algorithm Using Structured Least Squares Method","authors":"Kenta Noda;Nobuyoshi Kikuma;Kunio Sakakibara;Yoshiki Sugimoto","doi":"10.23919/comex.2024TCL0015","DOIUrl":null,"url":null,"abstract":"Virtual-ESPRIT Algorithm (VESPA), which is a direction-of-arrival (DOA) estimation method using higher-order statistics (fourth-order cumulants), is said to be significant for DOAs estimation of non-Gaussian signals. The authors propose SLS-VESPA, which is VESPA with the SLS (Structured Least Squares) method. Computer simulations show improved characteristics of the SLS-VESPA compared to the conventional TLS (Total Least Squares)-VESPA.","PeriodicalId":54101,"journal":{"name":"IEICE Communications Express","volume":"13 8","pages":"307-310"},"PeriodicalIF":0.3000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10494922","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEICE Communications Express","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10494922/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Virtual-ESPRIT Algorithm (VESPA), which is a direction-of-arrival (DOA) estimation method using higher-order statistics (fourth-order cumulants), is said to be significant for DOAs estimation of non-Gaussian signals. The authors propose SLS-VESPA, which is VESPA with the SLS (Structured Least Squares) method. Computer simulations show improved characteristics of the SLS-VESPA compared to the conventional TLS (Total Least Squares)-VESPA.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
