Fast BSC-based algorithm for near-field signal localization via uniform circular array

• 作者: SU Xiaolong LIU Zhen SUN Bin WANG Yang CHEN Xin LI Xiang
• 来源期刊: 系统工程与电子技术（英文版）
• 年，卷（期）: 2022,（2）
• 所属期刊栏目: ELECTRONICS TECHNOLOGY
• 页码范围: 269-278
• 页数: 10页
• 语种: 英文
• DOI: 10.23919/JSEE.2022.000028

摘要

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.