文献类型：期刊文献

英文题名：Dual-Sparse Parallel Nested Array for Two-Dimensional Direction of Arrival Estimation

作者：Jiang, Guojun[1];Huang, Jiacheng[1];Yang, Yunlong[2]

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

年份：2024

卷号：43

期号：12

起止页码：8060

外文期刊名：CIRCUITS SYSTEMS AND SIGNAL PROCESSING

收录：;EI(收录号：20243516938101);WOS:【SCI-EXPANDED(收录号:WOS:001296597000004)】；

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

语种：英文

外文关键词：Two-dimensional direction of arrival estimation; Dual-sparse array; Parallel nested array; Mutual coupling

摘要：In this paper, a novel dual-sparse parallel nested array (DS-PNA) is proposed for high-accuracy two-dimensional (2D) direction of arrival (DOA) estimation. The DS-PNA contains three subarrays, and the inter-antenna spacings of subarrays and those between subarrays are all enlarged with specific rates in 2D space (both of which are far larger than half-wavelength), for mutual coupling reduction and array aperture extension in physical array domain. Based on it, there is a systematic procedure to determine the number and positions of antennas in each subarray to achieve the maximum degrees of freedom in difference coarray domain, for improving the performance of DOA estimation. Numerical results are provided to demonstrate the superior performance of the DS-PNA for 2D DOA estimation over the state-of-the-art approaches, in the case of practical mutual coupling model.