基于声矢量传感器阵的相干源高分辨方位估计

High-resolution DOA estimation of coherent sources based on acoustic vector-sensor array

声矢量传感器能同时共点获得声场中声压、振速信息及更多的信息量,具有很好的应用前景。研究了声矢量传感器阵方位估计的多重信号分类(MUSIC)算法,并在此基础上推导了基于空间前向平滑算法的声矢量传感器阵相干源方位估计的方法。采用该方法可以有效地对相干源进行方位估计,同时综合利用声压、振速信息可以实现信号源方位360°无模糊估计,计算机仿真表明该方法具有较好的方位估计性能。

The and acoustic particle ve output of acoustic vector-sensors is a vector corresponding to the acoustic pressure locity. The main advantage of the acoustic vector-sensors over traditional scalar sensors is that they make full use of more available acoustic information. The acoustic vector-sensors will be widely used in the near future. High resolution MUSIC algorithm for DOA estimation based on acoustic vector-sensors is presented in this paper. Applying forward spatial smoothing technique of array signal processing to this algorithm, we deduce high resolution DOA estimator of coherent sources based on acoustic vectorsensors. Including the information of acoustic particle velocity in the array signals, the new high resolution algorithm overcomes bearing ambiguity from larboard and starboard of line array. Computer simulation resuits show that the new method possesses good performance of DOA estimation.