文献类型：期刊文献

英文题名：Low-Complexity DOA and Polarization Estimation via Moving Sparse Nested Array

作者：Lu, Lijun[1]; Jiang, Guojun[1]; Yang, Yunlong[2]; Xu, Rui[1]; Tang, Ge[1]; Zhai, Keyu[1]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China; [2] College of Information Science and Technology, Donghua University, Shanghai, China

年份：2023

卷号：2023

期号：47

起止页码：2430

外文期刊名：IET Conference Proceedings

收录：EI(收录号：20243717011814)

语种：英文

外文关键词：Direction of arrival - Eigenvalues and eigenfunctions

摘要：To enhance the performance of direction of arrival (DOA) and polarization estimation, this paper presents a moving sparse nested array composed of cocentered orthogonal loop and dipole pairs, and then proposes a low-complexity method for parameter estimation with high-accuracy. A systematic procedure is applied for determining the inter-pair spacing of the original and shifted arrays and distance between such arrays for the synthetic polarization sensitive array, to efficiently increase degrees of freedom and enlarge array aperture. Owing to the array motion, the unique and high-precise DOA estimation is firstly achieved. Subsequently, the polarization state will be obtained by eigenvalue decomposition instead of multi-searching step. Numerical results are provided to show the advantages of the proposed approach over various existing methods in the presence of limited physical antennas. ? The Institution of Engineering & Technology 2023.