提出一种基于声源空间域分布稀疏和声学矢量传感器"8"字形指向特性的波达方向(Direction of Arrival,DOA)估计方法.该方法在通过最优化稀疏算法选择与声源方向最匹配的向量的同时,借助声学矢量传感器中组合声矢量信号独特的"8"字形指向性,进一步提升了单个声学矢量传感器测向的准确度.实验结果表明,所提方法在宽带信号短时、小快拍情形下具备较强的健壮性,能够有效抑制噪声并准确获得噪声源的空间位置,为后续的噪声控制与处理提供关键的基础信息,有助于提高噪声处理的性能和效果.
Sparse Matching DOA Estimation Method for Acoustic Vector Sensor
A Direction of Arrival(DOA)estimation method based on sparse distribution of sound sources in spatial domain and"8"directional characteristics of acoustic vector sensors is proposed.In this method,the vector that best matches the direction of the sound source is selected by optimizing the sparse algorithm,and at the same time,with the help of the unique"8"directivity of the combined acoustic vector signal in the acoustic vector sensor,the accuracy of direction finding of a single acoustic vector sensor is further improved.The experimental results show that the proposed method has strong robustness in the case of short-time and small snapshot of broadband signal,can effectively suppress noise and accurately obtain the spatial position of noise source,and provides key basic information for subsequent noise control and processing,which is helpful to improve the performance and effect of noise processing.
acoustic vector sensorsparse matchingDirection of Arrival(DOA)estimation
NETL
NSTL
万方数据
