摘要
提出一类由密集子阵和稀疏子阵构成的二维嵌套声矢量阵列,以及一种仅需二阶统计量就能增加阵列自由度的方法。首先,利用子阵间的几何嵌套关系及其阵元分布疏密不同,构造差合成声矢量阵列,与物理阵元数相比,极大地增加了原阵列的自由度。然后,利用三维(二维空间和粒子振速域)平滑算法,得到差合成阵列输出信号的自相关矩阵,与空间平滑算法的传统应用不同,它恢复自相关矩阵秩的无需四阶累积量。计算机仿真结果证明所提算法的优越性。
A class of 2D nested acoustic vector array with a dense sub-array and a sparse sub-ar- ray is proposed.A method with second order statistics is proposed for increasing the freedom of the array.Firstly, the nested relationship between the sub-arrays and the distribution of the ele- ments are used to construct the acoustic vector co-array.Compared with physical elements, the degrees of freedom of the nested array is greatly increased.Then, using 3D （2D space and the particle velocity fields） smoothing algorithm, the auto-correlation matrix of the co-array output signal is obtained. Being different from traditional application of spatial smoothing algorithm, the auto-correlation matrix of co-array is obtained without fourth-order cumulants. The computer simulation results show the superiority of the proposed algorithm.
出处
《金陵科技学院学报》
2015年第3期45-49,共5页
Journal of Jinling Institute of Technology
关键词
二维嵌套声矢量阵列
DOA估计
平滑算法
2D acoustic vector array
the estimation of DOA
smoothing algorithm
