一种基于高阶累积量的近场源四维参数联合估计算法

Four-Dimensional Parameter Estimation of Near-Field Source Using Higher-Order Cumulant

本文提出了一种新的多个近场窄带信源距离、频率及二维到达角四维参数联合估计算法.首先基于特定序号阵元输出计算的高阶累积量构造4个矩阵,接着结合这些矩阵的结构特点构造3个新的矩阵,然后基于新构造矩阵分解得到的特征值和特征向量联合估计信源参数.与现有的方法相比,本文给出的方法有效提高了阵列孔径利用率,参数自动配对.仿真结果表明该算法是有效的.

We propose a novel joint estimation algorithm for range,frequency,and two-dimensional （2-D） direction-of-arrival （DOA） of each narrowband source in the near field. The proposed method constructs four matrices using the higher-order cumulants of the properly chosen sensor outputs,and forms three new ones using the four matrices,then estimates the source parameters from the new ones＇ eigenvalues and the corresponding eigenvectors. In comparison with the conventional methods, the proposed approach efficiently uses the array aperture, and pairs panameters automatically. Finally, the simulation results are presented to validate the performance of the proposed method.