矢量水听器阵时频MUSIC算法研究

时频MUSIC算法利用信号的时频分布构造空间时频分布矩阵,并用该矩阵代替传统的相关矩阵进行DOA估计,可以有效抑制噪声和干扰,提高算法的稳健性。时频子空间算法突破了传统子空间算法中阵元数对估计信号个数的限制,时频点包含了信号的时频空三维信息,通过时频点的选择可直接确定信号的频率从而确定阵列流型矩阵。对于宽带信号,在进行方位估计时避免了频域搜索,减少了运算量。将时频MUSIC算法应用于二维矢量水听器垂直线阵中,充分利用矢量水听器的标、矢量信息和信号的时、频信息进行宽带信号的二维波达方位估计。仿真研究验证了算法的有效性。

Research on DOA estimation of vector-sensor array with time-frequency MUSIC algorithm

Time-frequency MUSIC algorithm utilizes signal’s time-frequency distribution to construct spatial time-frequency distribution matrix instead of the conventional covariance matrix to estimate direction of arrival of the signals.It has been shown that using the spatial time-frequency distribution can restrain both noise and disturbance ef-ficiently,and the robustness of the algorithm can also be improved.Time-frequency subspace algorithm is not restricted by the number of sources unlike the traditional subspace estimation algorithm.Time-frequency-space information is contained by time-frequency points which can be used to establish the array manifold matrix.As for a wideband signal,the algorithm avoids to search in frequency domain,so the calculation amount can be reduced.In this paper,time-frequency MUSIC algorithm is applied to 2-D vector-sensor vertical linear array to make full use of the sca-lar-vector quantity of the vector-sensors and the time-frequency information of the signals for two-dimensional DOA estimation.The validity of the algorithm is verified by simulation.