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

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 consequently 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.