一种近场源参数估计新方法

提出了一种基于子空间的近场窄带信源频率、到达角及距离三维参数联合估计新方法．该方法选择特定序号阵元输出计算的4阶累积量构造4个高维矩阵，然后结合这些矩阵结构特点构造3个新的矩阵，利用新构造矩阵的特征值联合估计信源参数．与现有基于高阶累积量的方法相比，这种方法有效地减小了阵列孔径损失，从而具有较高的估计精度．

New parameter estimation algorithm for near-field sources

This paper proposes a new subspace-based algorithm to jointly estimate the frequencies,directions of arrival(DOAs),and ranges of multiple near-field narrow-band sources.Firstly,the proposed method constructs four cumulant matrices by virtue of the fourth-order cumulants of some properly chosen sensor outputs;secondly,by using the above-mentioned four matrices,it forms three new ones,from whose eigenvalues the source parameters can be easily obtained.In comparison with some available cumulant-based methods,the proposed algorithm can make efficient use of the array aperture,and thus has a higher estimation accuracy.Simulation results also show that the proposed method is of such performance.