改进声矢量阵相干信号源方位估计算法

为提高声矢量阵相干信号方位估计能力,针对二维紧凑结构的声矢量均匀线阵情况,给出一种改进算法。该算法首先利用解析振速与声压信息,重构接收数据,求出协方差矩阵,并提取信号子空间第一列的3个分矢量进行孔径扩展。然后,利用类单块拍条件下的矩阵重构得到3个新矩阵并合并。最后,套用奇异值分解的多重信号分类算法得到目标波达方位估计。分析表明,所提算法利用数据的组织形式使信号矩阵对角化,最终恢复了矩阵的秩,而且具有一定的孔径扩展能力。同时,所提算法矢量阵阵列流形所具备的方向因子可以在模糊角度处形成抑制,保留了矢量阵的单边指向性。仿真结果证明,此算法无论在角度估计精度还是分辨率方面都要优于矢量阵空间平滑与矢量平滑算法。

Improved coherent signal bearing estimation with acoustic vector hydrophone array

To improve the performance of bearing estimation for the coherent signal with acoustic vector hydrophone array, an algorithm based on two dimensional co collect acoustic vector hydrophone array is proposed. This algorithm firstly constructs a received data using analytical velocity and pressure array data to get covariance matrix, and abstracts three corresponding vectors of the first column of signal subspace to be conjugated and inverted. Then three new matrixes are obtained by using like single snapshot construction of matrix and combined. At last, direction of arrival (DOA) estimation is realized by using SVD MUSIC. The analysis denotes that the presented algorithm diagonalizes the signal matrix using type of data organization to recover rank and have aperture extension. Meanwhile, the direction factor of vector array manifold could make suppressing 〖JP2〗to the ambiguity angle so as to keep unilateral directivity of vector array. Simulation proves that this algorithm has better performance than vector array spatial smoothing and vector smoothing, from accuracy and resolution.