文献类型：期刊文献

英文题名：Underdetermined DOA Estimation for Coherent Signals With Moving Sparse Circular Array

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

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

年份：2021

卷号：2021-December

起止页码：2254

外文期刊名：Proceedings of the IEEE Radar Conference

收录：EI(收录号：20240115325961)

语种：英文

摘要：With a small number of array elements and the mutual coupling effect, direction of arrival (DOA) estimation for coherent signals will suffer from performance degradation, in underdetermined scenario. To solve the problem, this paper proposes a sparse uniform circular array (SUCA) on moving platform for mutual coupling reduction, and then employs a sparse signal reconstruction method for underdetermined DOA estimation of coherent signals with single snapshot. There is a systematic procedure to determine the inter-element spacing of the original SUCA and number of shifted SUCAs for the synthetic UCA, to achieve more degrees of freedom (DOF) than the number of elements. The construction of mutual coupling matrix is investigated to demonstrate the lower mutual coupling in the synthetic array. On the basis, the underdetermined DOA estimation of coherent signals is performed by using the sparse signal reconstruction method. Simulation results are given to illustrate the superiority of the proposed array in terms of DOF enhancement and mutual coupling reduction. ? 2021 IEEE.