基于流形分离技术的DOA和极化参数联合估计方法  

Joint Estimation Algorithm of DOA and Polarization Based on the Manifold Separation Technique

作　　者：胡显智 王宁[2] 戴旭初[1] HU Xianzhi;WANG Ning;DAI Xuchu(School of Information Science and Technology,University of Science and Technology of China,Hefei 230026;Nanjing Research Institute of Electronics Technology,Nanjing 210039,China)

机构地区：[1]中国科学技术大学信息科学技术学院,安徽合肥230027 [2]南京电子技术研究所,江苏南京210039

出　　处：《测试技术学报》2018年第5期435-442,共8页Journal of Test and Measurement Technology

摘　　要：为了实现任意结构的极化敏感阵列对来波信号DOA和极化参数的联合估计,将流形分离技术(Manifold Separation Technique,MST)引入到极化敏感阵列的数据建模.重点研究了两种基于流形分离技术的二维DOA和极化参数的联合估计方法.第一种方法使用快速傅里叶变换(FFT)计算空间谱,避免了传统MUSIC方法中的谱峰搜索过程,有效降低了计算量;第二种方法将MST与信号子空间拟合技术结合,能够对任意相关性信号的DOA和极化参数进行联合估计,在信号源完全相干时仍具有良好的性能.两种方法皆适用于任意结构的极化敏感阵列.仿真结果验证了本文算法的有效性.In order to jointly estimate DOA and polarization parameters using polarization sensitive array with arbitrary structure,the manifold separation technique（MST）was introduced into data modeling of polarization sensitive arrays.The focus of this paper was investigating two MST-based joint estimate two-dimensional DOA and polarization parameters.In the one method,the Fast Fourier Transformation（FFT）algorithm was utilized to compute the spatial spectrum,which avoided the procedure of spectrum-peak searching in the conventional MUSIC method and reduced the computational burden.In the other estimate DOA for correlated signals and polarization parameters,which also exhibited excellent performances even for complete coherent signals.The two proposed methods can be applied to any polarization sensitive array,irrespective of the array structure.Moreover,simulation results demonstrated the effectiveness of the proposed methods.

关 键 词：极化敏感阵列 流形分离技术 FFT 子空间拟合 

分 类 号：TN911.7[电子电信—通信与信息系统]