文献类型：期刊文献

英文题名：Efficient DOA and Polarization Estimation for Dual-Polarization Synthetic Nested Arrays

作者：Yang, Yunlong[1];Jiang, Guojun[2]

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

年份：2022

卷号：16

期号：4

起止页码：6277

外文期刊名：IEEE SYSTEMS JOURNAL

收录：;EI(收录号：20220211436077);WOS:【SCI-EXPANDED(收录号:WOS:000736862900001)】；

基金：This work was supported in part 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：Antenna arrays; Estimation; Linear antenna arrays; Antennas; Direction-of-arrival estimation; Aperture antennas; Dipole antennas; Computational complexity; direction of arrival (DOA); polarization estimation; polarization sensitive array (PSA); synthetic nested structure

摘要：To obtain a larger aperture for improving parameter estimation performance, we present a novel polarization sensitive array with dual-polarization synthetic nested structure, and then propose a low-complexity method for direction of arrival (DOA) and polarization estimation with two steps. There is a systematic procedure to determine the number and positions of antennas in each single-polarization subarray used for the synthetic nested array, in order to achieve more degrees of freedom (DOFs) and larger aperture for difference coarray with limited physical antennas. The increased DOFs of cross- and self-difference coarrays are quantitatively provided. To handle underdetermined parameter estimation with the resulting DOFs, the proposed method first estimates initial DOA and polarization state by using root-MUSIC and oblique projection operator, based on hole-free cross-difference coarray from cross-correlation matrix between subarrays. In the second step, holes in self-difference coarray, which is from autocorrelation matrix of single-polarization subarray, are filled with initial estimation. By exploiting both hole-free self- and cross-difference coarrays, an efficient search-based algorithm with initially estimated parameters is explored for refined estimation. The Cramer-Rao bound for the array and computational complexity of the method are provided. Simulation results are given to demonstrate the superior performance of the proposed array and method.