In this paper, we propose a beam space coversion (BSC)-based approach to achieve a single near-field signal local-ization under uniform circular array (UCA). By employing the centro-symmetric geometry of UCA, we apply BSC to extract the two-dimensional (2-D) angles of near-field signal in the Van-dermonde form, which allows for azimuth and elevation angle estimation by utilizing the improved estimation of signal para-meters via rotational invariance techniques (ESPRIT) algorithm. By substituting the calculated 2-D angles into the direction vec-tor of near-field signal, the range parameter can be conse-quently obtained by the 1-D multiple signal classification (MU-SIC) method. Simulations demonstrate that the proposed al-gorithm can achieve a single near-field signal localization, which can provide satisfactory performance and reduce computational complexity.

College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China;Beijing Institute of Tracking and Telecommunication Technology,Beijing 100094,China

[1]SU Xiaolong;LIU Zhen;SUN Bin;WANG Yang;CHEN Xin;LI Xiang-.Fast BSC-based algorithm for near-field signal localization via uniform circular array)[J].系统工程与电子技术（英文版）,2022(02):269-278

coversion,dermonde

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