文献类型：期刊文献

英文题名：Underdetermined DOA and Polarization Parameter Estimation for Coherent Signals Exploiting Moving Sparse Vector-Sensor Array

作者：Jiang, Guojun[1];Wang, Shaobo[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：2026

卷号：45

期号：3

起止页码：1958

外文期刊名：CIRCUITS SYSTEMS AND SIGNAL PROCESSING

收录：;EI(收录号：20253719153133);WOS:【SCI-EXPANDED(收录号:WOS:001566849800001)】；

基金：This work was supported by the National Natural Science Foundations of China under Grants 62301141 and 62101190.

语种：英文

外文关键词：Moving spatially-separated vector-sensor array; Underdetermined DOA and polarization parameter estimation; Coherent signals; Mutual coupling

摘要：This paper proposes a moving sparse spatially-separated vector-sensor array (MSSVSA) for underdetermined direction-of-arrival (DOA) and polarization parameter estimation of coherent signals. The proposed array utilizes the motion to achieve a synthetic array including original and shifted arrays with extended aperture, and simultaneously reduces both inter-element coupling and inter-polarization coupling by enlarging the spacings between antennas. A decorrelation technique based on movement of the synthetic array is introduced, enabling the use of subspace-based algorithms for parameter estimation. Simulation results illustrate that the MSSVSA can achieve superior performance in parameter estimation for coherent signals under underdetermined cases, outperforming the existing techniques in terms of high-accuracy.