Summary
International Conference on Emerging Technologies for Communications
2023
Session Number:P2
Session:
Number:P2-17
DOA Estimation by VESPA Algorithm Using SLS Method
Kenta Noda, Nobuyoshi Kikuma, Kunio Sakakibara, Yoshiki Sugimoto,
pp.-
Publication Date:2023/11/29
Online ISSN:2188-5079
DOI:10.34385/proc.79.P2-17
PDF download (273.1KB)
Summary:
Virtual-ESPRIT (VESPA) is a method for estimating the direction of arrival (DOA) using higher-order statistics. In this study, to further improve the estimation performance, we propose SLS-VESPA using the SLS (Structured Least Squares) method and compare it with the conventional TLS-VESPA.