单矢量水听器二维DOA和频率联合估计算法

基于单矢量水听器,利用时延数据构造两个阵形相同的子阵,运用LS-ESPRIT方法,对信号数据矩阵进行特征值分解,提取其特征值和相应的特征向量中包含的频率和角度信息,从而实现单频窄带信号的二维DOA和频率的联合估计。具有较好的估计精度,无需搜索过程并且能够实现三维参数的自动配对。使用MATLAB进行仿真,与基于单矢量水听器的波达方向矩阵法和基于声压阵的LS-ESPRIT方法进行比较,结果表明,该方法具有较好估计性能。

Estimation of Two-dimensional DOA Joint Frequency of Signal via a Single Vector Hydrophone

Based on a single vector hydrophone, two sub - matrixes of the same formation which formed signal data matrix is constructed by delayed time data. On the basis of LS - ESPRIT, the signal data matrix is decomposed by one eigenvalue decomposition to get its eigenvalues and corresponding eigenvectors, which included the information of fre- quency and angle, so two - dimensional DOA and frequency joint estimation is realized for narrow - band signal. This method has better estimation accuracy, which doesn＇ t need any search procedure, the three - dimensional parameter matching is automatically achieved by this method. Compared with DOA matrix method via a single vector hydrophone and LS - ESPRIT method via acoustic pressure array by MATLAB, the results show that this method have better estima- tion performance.