In this paper, we propose a beam space coversion (BSC)-based approach to achieve a single near-field signal localization 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 Vandermonde form, which allows for azimuth and elevation angle estimation by utilizing the improved estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm. By substituting the calculated 2-D angles into the direction vector of near-field signal, the range parameter can be conse-quently obtained by the 1-D multiple signal classification (MUSIC) method. Simulations demonstrate that the proposed algorithm can achieve a single near-field signal localization, which can provide satisfactory performance and reduce computational complexity.

中文翻译：

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基于BSC的快速均匀圆阵列近场信号定位算法

在本文中，我们提出了一种基于波束空间覆盖 (BSC) 的方法来实现均匀圆形阵列 (UCA) 下的单个近场信号定位。通过采用 UCA 的中心对称几何，我们应用 BSC 以 Vandermonde 形式提取近场信号的二维 (2-D) 角度，这允许通过利用改进的信号估计来进行方位角和仰角估计参数通过旋转不变技术（ESPRIT）算法。通过将计算出的二维角度代入近场信号的方向矢量，可以通过一维多信号分类（MUSIC）方法得到距离参数。仿真表明，所提出的算法可以实现单个近场信号定位，