一种新的基于二阶统计量的的近场源定位算法

A New Near-Field Source Localization Algorithm Using Second-Order Statistics

该文提出了一种基于二阶统计量的近场窄带信源频率、距离及到达角三维参数联合估计新算法。该算法首先基于特定序号阵元输出计算的二阶统计量构造3个矩阵,接着结合这些矩阵的结构特点构造2个新的矩阵,然后利用其特征值和特征向量估计信源参数。与现有基于二阶统计量的算法相比,该文算法节省1个阵元,且仅需计算3个二阶统计量矩阵,此外参数自动配对。仿真结果表明该算法是有效的。

In this paper, based on Second-Order Statistics （SOS）, a new algorithm is proposed for jointly estimating ranges, frequencies and Direction-Of-Arrival （DOA） of multiple near-field narrowband sources. The proposed method constructs three matrices using the second-order statistics of the properly chosen sensor outputs, and forms two new ones using the three matrices, then estimates the source parameters from the new ones＇ eigenvalues and the corresponding eigenvectors. In comparison with other methods based on SOS, the proposed method can save one sensor, and only uses three SOS matrices; in addition, the estimated parameters are paired automatically. Finally, the simulation results are presented to validate the performance of the proposed method.