大间距均匀阵列抗模糊DOA估计实验研究  

Experimental Study on Anti-ambiguity DOA Estimation of Large Spacing Uniform Arrays

作　　者：杨浩[1] 杨鹏[1] YANG Hao;YANG Peng(School of Electronic Science and Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China)

机构地区：[1]电子科技大学电子科学与工程学院,成都611731

出　　处：《实验科学与技术》2024年第2期21-25,共5页Experiment Science and Technology

基　　金：国家自然科学基金(62171103);电子科技大学研究生教改项目(JYJG2021404)。

摘　　要：在波达方向(DOA)估计中,当接收天线阵列的单元间距大于入射信号载波的半波长时,会出现阵列流形模糊,这对分辨真实的信号DOA带来了挑战。该文基于子阵级大间距均匀双线极化阵列,提出通过随机改变每个子阵中某个单元的极化状态,使不同子阵对应的导向矢量相互独立,从而打破大间距均匀阵列下导向矢量间的线性关系,并抑制阵列流形模糊。仿真和实验结果表明,该方法可有效去除多重信号分类(MUSIC)算法空间谱中的伪峰,实现高精度DOA估计。In the direction of arrival(DOA)estimation,when the unit spacing of the receiving antenna array is greater than the half wavelength of the incident signal carrier,the manifold ambiguity will occur,which poses a challenge to distinguish the real signal DOA.Based on a subarray level large spacing uniform dual-polarization array,this article proposes to randomly change the polarization state of a certain unit in each subarray,so that the corresponding steering vectors of different subarrays are independent of each other.It can break the linearity between the steering vectors under a large spacing uniform array and suppress manifold ambiguity.The simulation and experimental results show that this method can effectively remove spurious peaks in the spatial spectrum of the multiple signal classification(MUSIC)algorithm and achieve a high-precision DOA estimation.

关 键 词：DOA估计 阵列流形模糊 均匀阵列 极化 MUSIC算法 伪峰 

分 类 号：TN911.7[电子电信—通信与信息系统]