基于遗传算法的单矢量水听器多目标方位估计

矢量水听器能同时获得声场中某一点的声压标量和质点振速矢量,获得了比常规声压水听器更多的信息。矢量水听器自身是一个空间共点阵,具有一定的空间指向性,这些特点使矢量信号处理技术与声压信号处理技术具有重大差异。根据单个矢量水听器多目标分辨的数学模型,即声压和振速的偶次阶矩组成的非线性联立方程组,研究了该方程的解算方法,给出了可以使用遗传算法求解该非线性方程组的结论和计算精度。

Direction estimation of multi-sources using a single vector transducer with genetic algorithm

Vector transducers consisting of both acoustic pressure and acoustic particle velocity tran-sducers can get more information from a point in the sound field than an ordinary acoustic pressure transducer.Although all elements in a vector array are situated at one point,the vector transducer is spatially directional.For this reason,vector signal processing techniques are different from the pressure signal processing technique.In this paper,we study the method for calculating the system of non-linear equations derived with even order moments of acoustic pressure and acoustic particle velocity received by a single vector transducer.We show that genetic algorithms are effective in solving the system of nonlinear equations.Simulation results on accuracy are presented.