DOA estimation by virtual-ESPRIT algorithm using structured least squares method

Kenta Noda; Nobuyoshi Kikuma; Kunio Sakakibara; Yoshiki Sugimoto

doi:10.23919/comex.2024TCL0015

Special Cluster in Emerging Communication Technologies in Conjunction with Main Topics of ICETC 2023

DOA estimation by virtual-ESPRIT algorithm using structured least squares method

Kenta Noda, Nobuyoshi Kikuma, Kunio Sakakibara, Yoshiki Sugimoto

著者情報

キーワード: DOA estimation, VESPA, fourth-order cumulants, TLS method, SLS method, ESPRIT

ジャーナルフリー

2024 年 13 巻 8 号 p. 307-310

DOI https://doi.org/10.23919/comex.2024TCL0015

詳細

抄録

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.

責任著者(Corresponding author)

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