一种实用的盲波束形成和DOA估计方法

摘要

基于子空间分解的原理对相关文献的方法进行了改进.用平均时间延迟协方差矩阵的奇异值分解代替传感器数据矩阵的奇异值分解,大大地提高了运算速度,使模型和算法能更有效地应用于实际情况.同时仿真实验和海上实测数据结果表明,该方法能很好地实现方位估计和信号恢复,而且性能更佳.%The direction of arrival(DOA)estimation is the basis of the underwater target location and tracking.Based on the subspace decomposition,an improved blind beamforming and DOA estimation method is proposed.The operation is faster in the speed than that of the relevant literature by substituting the singular value decomposition(SVD)of average time-delay correlation matrices for the SVD of sensor data matrix.The model and the algorithm can be applied to the actual conditions.And its validity is tested by simulation data and the recorded data in sea.Results show that the method can realize real-time estimation of the target direction and the corresponding signal of targets.