互质极化阵列的DOA估计算法研究

Direction of Arrival Estimation Algorithm Based on the Polarizati on Co-prime Array

摘要:

针对极化阵列计算复杂度高、互耦效应大的难点问题,提出一种基于三正交偶极子互质阵列的极化稀疏算法,用于波达方向(DOA)估计。首先充分利用三正交偶极子三个通道的所有信息,形成一个拥有更多阵元的虚拟线阵,使得原本不相干的信号变为相干信号;然后进一步使用前后向空间平滑的方法对虚拟阵列的协方差矩阵进行解相干。该算法可以扩展阵列孔径并降低计算复杂度。通过多组仿真验证极化稀疏算法的有效性,证明该算法有较高的估计精度。

Abstract:

To solve the problem of high computational complexity and large mutua.coupling effect of polarized array, a polarized sparse algorithm based on three-cross dipoleco-prime array is proposed for direction of arrival (DOA) estimation, A virtual linear arraywith more array elements is formed, by making full use of all information of the threechannels of three-cross dipole, so that the uncorrelated signals become coherent signals. Then theorward ano backwarc spatia smoothing method is used to deconerence the covariance matrix otvirtual array. The algorithm can expand the array aperture and reduce the computational complexity.The effectiveness of the polarized sparse algorithm is verified by several groups of simulationexperiments. The results show that the algorithm has better estimation accuracy.