文献类型：期刊文献

英文题名：Low-Complexity DOA Estimation via Synthetic Coprime Polarization Sensitive Array with Reduced Mutual Coupling in Nonuniform Noise

作者：Jiang, Guojun[1];Yang, Yunlong[2];Yang, Xuguang[3]

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;[3]Longdong Univ, Sch Informat Engn, Qingyang 745000, Gansu, Peoples R China

年份：2023

卷号：42

期号：11

起止页码：6988

外文期刊名：CIRCUITS SYSTEMS AND SIGNAL PROCESSING

收录：;EI(收录号：20232814366145);WOS:【SCI-EXPANDED(收录号:WOS:001020200800001)】；

基金：AcknowledgementsThis work was supported by the National Natural Science Foundations of China under Grant 62101190, Grant 62061026, 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：Coprime array; Polarization sensitive array; Mutual coupling; Direction of arrival estimation; Nonuniform noise

摘要：To improve the performance of underdetermined direction of arrival (DOA) estimation in the scenario of strong mutual coupling and unknown nonuniform noise, this paper presents a novel coprime polarization sensitive array (PSA) with limited antenna number and proposes a low-complexity DOA estimation method via iterative covariance matrix reconstruction. The proposed synthetic array is composed of two single-polarized subarrays with dipole or loop antennas. Owing to the polarization domain, it can efficiently reduce the mutual coupling between subarrays, which dominates the effect of mutual coupling in the existing coprime arrays. For effectively eliminating the nonuniform noise, the cross-covariance matrix between subarrays is utilized. Based on it, the full aperture and all degrees of freedoms of the difference coarray with holes are obtained, and then, initial DOAs are estimated by using orthogonal matching pursuit algorithm. The oblique projection operators depending on initial DOAs are constructed to fill holes in difference coarray, in order to generate a larger covariance matrix for refined angle estimation. Then, a fast iterative procedure associated with covariance matrix reconstruction is given to achieve final DOA estimation, for further enhancing estimation performance. Theoretical analysis and simulation results verify the effectiveness of the proposed array and method.