文献类型：期刊文献

英文题名：Synthetic sparse nested array with extended aperture and reduced mutual coupling for DOA estimation

作者：Jiang, Guojun[1];Yang, Yunlong[2]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]Donghua Univ, Sch Informat Sci & Technol, Shanghai 201620, Peoples R China

年份：2023

卷号：204

外文期刊名：SIGNAL PROCESSING

收录：;EI(收录号：20224613103949);WOS:【SCI-EXPANDED(收录号:WOS:000903702000003)】；

基金：This work was supported by the National Natural Science Foundation of China under Grant 62101190 , 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：Synthetic sparse nested array; Aperture extension; Direction of arrival estimation; Mutual coupling

摘要：To obtain a larger aperture for improving direction of arrival (DOA) estimation performance, we present a synthetic sparse nested array consisting of three subarrays with dual-polarization antennas, and then propose a cascade method composing of three steps for super-resolution angle estimation with range of 180 degree. There is a systematic procedure to determine the number and positions of antennas in each single-polarization subarray used for the synthetic sparse nested array, in order to efficiently reduce mu-tual coupling and obtain increased degrees of freedom and aperture for difference coarray with limited physical antennas. By exploiting the configuration and fully utilizing the aperture of the proposed array, two sparse uniform linear arrays are achieved in difference coarray domain, for giving coarse estimation and fine but ambiguous estimation in the first and second steps, respectively. Then an automatic pair matching based on pseudo ambiguous angles is provided to obtain unique DOA estimation in the third step. Theoretical analysis and simulation results are given to demonstrate the superiority of the proposed array and method for high-accuracy DOA estimation in the presence of mutual coupling.(c) 2022 Elsevier B.V. All rights reserved.