文献类型：期刊文献

英文题名：High-accuracy DOA estimation via parallel sparse nested array with extended aperture and reduced mutual coupling

作者：Yang, Yunlong[1];Jiang, Guojun[2]

机构：[1]Donghua Univ, Coll Informat Sci & Technol, Shanghai, Peoples R China;[2]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai, Peoples R China

年份：2023

卷号：59

期号：17

外文期刊名：ELECTRONICS LETTERS

收录：;EI(收录号：20233614692647);WOS:【SCI-EXPANDED(收录号:WOS:001060868400001)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 62101190 and Grant 62301141, in part by the Natural Science Foundation of Shanghai under Grant 21ZR1416800, and in part by the Fundamental Research Funds for the Central Universities under Grant~2232021D-40.

语种：英文

外文关键词：array signal processing; radar; sonar and navigation; signal processing; wireless communications

摘要：This letter proposes a novel parallel sparse nested array and then provides a matrix reconstruction-based method with three steps, to enhance the performance of direction of arrival (DOA) estimation in practice. The spacings between the closest antennas along x- and y-axes, are coprime and much greater than half-wavelength in the proposed array, which contributes to efficiently eliminate the mutual coupling and achieve larger aperture with limited physical antennas. By using the oblique projection operator with iteration, the proposed method can employ all items of covariance matrix of the received data to construct a virtual covariance matrix with increased degrees of freedom, for effectively improving angle estimation performance. Then the unique and high-accuracy DOA estimation is obtained via the coprime-ness. The simulation results show the superiority of the proposed array and method for DOA estimation in the presence of mutual coupling and limited antennas. This letter presents a novel parallel sparse nested array and then proposes a matrix reconstruction-based method with three steps, to achieve better performance of direction of arrival (DOA) estimation. The spacings between the closest antennas along different axes, are coprime and much greater than half-wavelength in the proposed array, which contributes to effectively reduce the mutual coupling and enlarge the aperture with limited physical antennas. The proposed method can employ all items of covariance matrix of the received data to construct the virtual matrix with increased degrees of freedom, for efficiently enhancing angle estimation performance, and then obtain unique and high-accuracy DOA estimation by using the coprime-ness.image