中文摘要：

为多重 narrowband farfield 的评价表明的 direction-of-arrival (DOA ) 的一条途径被建议。这种技术使用一个新奇矩阵空间 prefiltering approach.Specifically，一个矩阵过滤器被设计空间地过滤到来的数据快照。从 stopband 到达的讨厌的部件尖部门被稀释，从兴趣的尖部门的需要的部件与最小的失真过去。矩阵过滤器空间地过滤元素空间数据，输出保留元素空间数据性质，它由在使用许多另外的数组处理器稀释干扰并且改进系统性能以前通过空间 prefilter 传递传感器数据使它很有用。DOA 评价问题的几个例子被举说明建议空间 prefiltering 途径的表演。模拟和真实数据的结果证明预先过滤罐头高效地稀释空间干扰并且显著地为在通带部门内找到的消息提供者在低 signal-to-noise 比率改进评价和 DOA 评估者的决定能力。另外，空间 prefilter 的使用使多于一个数组的元素的数字为多重来源估计 DOA 可能。

英文摘要：

An approach to direction-of-arrival （DOA） estimation for multiple narrowband farfield signals is proposed. The technique uses a novel matrix spatial prefiltering approach. Specifically, a matrix filter is designed to spatially filter the incoming data snapshots. The un-wanted components arriving from the stopband angular sectors are attenuated and the desired components from the angular sector of interest pass with minimal distortion. The matrix filter spatially filters the element-space data and the output reserves the element-space data property, which makes it very useful by passing sensor data through a spatial prefilter prior to applying many other array processors to attenuate interferences and improve system performance. Several examples of DOA estimation problem are presented to illustrate the performance of the proposed spatial prefiltering approach. Results of simulation and real data show that the pre-filter can efficiently attenuate the spatial interferences and significantly improve the estimation and resolution capability of DOA estimators at low signal-to-noise ratios for the sources located inside the passband sector. In addition, the use of spatial prefilter makes it possible to estimate DOAs for multiple sources more than the number of the elements of an array.