文献类型：期刊文献

英文题名：Generalized Extended Nested Array for Higher uDOFs Based on Maximum Inter-Element Spacing Principle

作者：Jiang, Guojun[1];Li, Meng[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

外文期刊名：CIRCUITS SYSTEMS AND SIGNAL PROCESSING

收录：;EI(收录号：20260720046659);WOS:【SCI-EXPANDED(收录号:WOS:001682903600001)】；

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

语种：英文

外文关键词：Generalized extended nested array; Degree of freedom; Direction of arrival estimation; Inter-element spacing

摘要：In recent years, sparse array design for underdetermined direction of arrival (DOA) estimation has made significant progress, and various improved structures have been proposed to expand the virtual aperture and enhance estimation accuracy. However, few studies have successfully combined a large array aperture and high degrees of freedom (DOFs) with the number of array elements. Inspired by the maximum inter-element spacing constraint (IES) criterion, this paper proposes four novel generalized extended nested arrays (GENAs). Each GENA consists of five uniform linear subarrays (ULAs) and a properly placed independent sensor. For any given number of sensors, closed-form expressions for sensor positions, achievable DOFs and weight functions are derived in detail for each GENA. It is proven that the designs of these four arrays have a hole-free difference co-array. Compared with the existing sparse array structures, the GENA can provide a higher number of uniform DOFs, as well as relatively small mutual coupling effects. Numerical simulations demonstrate that the proposed GENA exhibits significantly enhanced DOA estimation performance under various SNR and snapshot conditions.