In this paper, an improved propagator method (PM) is proposed by using a two-parallel array consisting of two uniform large-spacing linear arrays. Because of the increase of element spacing, the mutual coupling between two sensors can be reduced. Firstly, two matrices containing elevation angle information are obtained by PM. Then, by performing EVD of the product of the two matrices, the elevation angles of incident signals can be estimated without direction ambiguity. At last, the matrix product is used again to obtain the estimations of azimuth angles. Compared with the existed PM algorithms based on conventional uniform two-parallel linear array, the proposed PM algorithm based on the large-spacing linear arrays has higher estimation precision. Many simulation experiments are presented to verify the effect of proposed scheme in reducing the mutual coupling and improving estimation precision.

中文翻译：

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包含两个均匀大间距线性阵列的两个平行阵列的2D DOA估计

在本文中，提出了一种改进的传播器方法（PM），该方法使用了由两个均匀的大间距线性阵列组成的双平行阵列。由于元件间距的增加，可以减少两个传感器之间的相互耦合。首先，通过PM获得两个包含仰角信息的矩阵。然后，通过执行两个矩阵的乘积的EVD，可以估计入射信号的仰角而不会产生方向歧义。最后，再次使用矩阵乘积来获得方位角的估计。与现有的基于常规均匀二平行线性阵列的PM算法相比，所提出的基于大间距线性阵列的PM算法具有更高的估计精度。