文献类型：期刊文献

英文题名：2D DOA and polarization estimation via synthetic nested dual-polarized array with scalable aperture in the presence of unknown nonuniform noise

作者：Yang, Yunlong[1];Shan, Mengru[1];Jiang, Guojun[2]

机构：[1]Donghua Univ, Coll 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：2025

卷号：158

外文期刊名：DIGITAL SIGNAL PROCESSING

收录：;EI(收录号：20245117537095);WOS:【SCI-EXPANDED(收录号:WOS:001413945400001)】；

基金：This work was supported by the National Natural Science Foundation of China under Grant 62301141 and Grant 62101190, and the Natural Science Foundation of Shanghai under Grant 21ZR1416800.

语种：英文

外文关键词：Nested array; Scalable aperture; Direction-of-arrival estimation; Polarization estimation; Unknown nonuniform noise

摘要：For effectively enhancing the performance of two-dimensional direction-of-arrival and polarization estimation in practice, we propose a synthetic nested array with scalable aperture (SNASA), and then present a low-complexity estimation method, in unknown nonuniform noise environment. There is a systematic procedure to provide the numbers and positions of antennas for three subarrays of the SNASA, and then the estimation method based on one-dimensional sparse reconstruction can be used only once to achieve multi-parameter estimation. Compared with the existing nested polarization sensitive arrays (PSAs) with estimation methods, the proposed technique has some advantages: (a) The degrees of freedom of the SNASA is two times larger than that of the existing PSAs, due to the shared subarray of the former; (b) The physical aperture of the SNASA can be uniformly scaled while always keeping the ULA-based difference coarray, which enhances its flexibility applied for various platforms; (c) Both the nonuniform noise mitigation and the spatial information cooperated with polarized domain are automatically achieved by the block-sparse signal reconstruction, which avoids the extra complexity and the performance loss of the existing techniques for multi-parameter estimation case. The Cram & eacute;r-Rao bound and its existence condition are given in the presence of nonuniform noise. Numerical simulations are conducted to show the superior performance of the proposed technique.