2D DOA Estimation with a Two-Parallel Array Consisting of Two Uniform Large-Spacing Linear Arrays

2D DOA Estimation with a Two-Parallel Array Consisting of Two Uniform Large-Spacing Linear Arrays
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由两个均匀大间距线性阵列组成的双平行阵列的二维 DOA 估计

DOI:
10.1155/2020/4069307
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发表时间:
2020
影响因子:
1.5
通讯作者:
Zhang Yu
Zhang Yu
中科院分区:
计算机科学4区
文献类型:
--
作者:
Liu Sheng;Zhao Jing;Zhang Yu

文献摘要

被引文献

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利用两个均匀的大间距线阵组成的两个平行阵列,提出了一种改进的传播算子方法(PM)。由于单元间距的增加,可以减小两个传感器之间的相互耦合。首先,通过PM得到两个包含仰角信息的矩阵然后,通过对两个矩阵的乘积进行EVD,可以在没有方向模糊的情况下估计入射信号的仰角。最后,再次利用矩阵乘积进行方位角估计。与已有的基于常规均匀双平行线阵的PM算法相比,基于大间距线阵的PM算法具有更高的估计精度。通过大量的仿真实验,验证了该方案在减小互耦、提高估计精度方面的效果。
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.