文献类型：期刊文献

英文题名：Underdetermined DOA Estimation of Moving Sparse Nested Arrays under the Coexistence of Mutual Coupling and Nonuniform Noise

作者：Yang, Yunlong[1]; Wang, Luyao[1]; Jiang, Guojun[2]; Jia, Fengde[1]; Lu, Xiaochen[1]

机构：[1] Donghua University, School of Information Science and Technology, Shanghai, China; [2] East China University of Science and Technology, School of Information Science and Engineering, Shanghai, China

年份：2023

起止页码：1382

外文期刊名：2023 6th International Conference on Electronics Technology, ICET 2023

收录：EI(收录号：20233614697261)

语种：英文

外文关键词：Cost estimating - Cost reduction

摘要：In order to enhance the performance of direction of arrival (DOA) under the coexistence of mutual coupling and unknown nonuniform noise, we propose a moving sparse nested array (MSNA) with limited physical sensors, and then provide an improved DOA estimation algorithm depending on the suppression of nonuniform noise and the processing of the mean value of the precise estimate. Owing to space spacing between adjacent sensors, the proposed array can give larger aperture and reduced mutual coupling compared with the existing nested arrays. For solving the ambiguity for DOA estimation introduced by such spacing and reducing cost, the two-component subarrays of the proposed array are provided by the array motion. Based on it, the improved algorithm can obtain unique and high-accuracy estimation with such suppression and processing. Simulation results verify the superiority of the proposed MSNA and the improved algorithm for high-accuracy DOA estimation with mutual coupling reduction, cost saving and nonuniform noise mitigation. ? 2023 IEEE.