文献类型：期刊文献

英文题名：Underdetermined 2D DOA Estimation for Coherent Signals via Sparse Sensor Array With Nested Moving Sampling Scheme

作者：Jiang, Guojun[1];Wang, Shaobo[1];Huang, Jiacheng[1];Yang, Xuguang[2];Yang, Yunlong[3]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]Longdong Univ, Sch Math & Informat Engn, Qingyang 745000, Peoples R China;[3]Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China

年份：2025

卷号：32

起止页码：4034

外文期刊名：IEEE SIGNAL PROCESSING LETTERS

收录：;EI(收录号：20254319387680);WOS:【SCI-EXPANDED(收录号:WOS:001606643300010)】；

基金：This work was supported by the National Natural Science Foundation of China under Grant 62301141, Grant 62101190, and Grant 62061026.

语种：英文

外文关键词：Direction of arrival estimation; underdetermined scenario; coherent signals; coherent signals; nested moving sampling; nested moving sampling; acoustic vector sensor; acoustic vector sensor; acoustic vector sensor

摘要：In order to improve the performance of target localization based on multi-sensor system, this paper proposes a novel sparse acoustic vector sensor (AVS) array with nested moving sampling scheme, forunderdetermined two-dimensional (2D) direction of arrival (DOA) estimation of coherent target signals. By exploiting the dense sampling of the nested sampling scheme, a synthetic array composed of the original and shifted sparse arrays, is achieved with increased degrees of freedom (DOF) and extended aperture. Based on it, the sparse sampling in the sampling scheme is applied to decorrelate the coherent signals, and then eigenstructure based methods are used for high-accuracy 2D DOA estimation in underdetermined scenario. The simulation results are given to demonstrate the effectiveness of the proposed method over the state-of-the-art techniques.