六角形阵列相干信号二维DOA估计

2-D DOA estimation of coherent signals based on the hexagonal array

  • 摘要: 提出了一种基于扩展重构相关矩阵去相干的二维DOA估计算法。针对六角形阵列的结构特点,首先对各个阵元的接收数据求其共轭矩阵来扩展阵列,扩展后的阵列分为3个六角形子阵列,以此为基础,求得各子阵列的自相关矩阵及互相关矩阵来扩展重构相关矩阵,从而实现解相干的目的,最后利用二维MUSIC算法进行DOA估计。该算法在不减少阵列有效孔径的前提下,增加了可估计相干源数目,并且能够得到较好的估计性能。最后,通过计算机仿真证实了该算法的有效性。

     

    Abstract: A method of 2-D DOA estimation of coherent signals is put forward by extending reconstruction of the correlation matrix. Considered the structural feature of the hexagonal array, we can extend the array by getting the conjugate matrix of the receiving data of each array element, and the extended array can be divided into three hexagonal subarrays. On this basis, for implementing the estimation of coherent signals, we seeked autocorrelation and cross-correlation matrix of subarrays to expand and reconstruct the correlation matrice . The two dimensional MUSIC algorithm is used to estimate the direction of arrival of coherent signals. Under the condition of no reduction of the array aperture, the proposed algorithm can estimate more number of coherent signals and achieve better estimation performance. The computer simulations demonstrated the effectiveness of the algorithm.

     

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