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

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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.