基于双面质点振速测量的声场分离技术

Sound field separation technique using double layer particle velocity measurements

现有的声场分离技术或是基于双面声压测量或是基于单面声压和质点振速测量。本文以二维空间傅里叶变换法作为声场分离算法,提出一种基于双面质点振速测量的声场分离技术。论文首先推导出了该方法的理论模型,随后通过仿真研究验证了该方法的有效性,并通过与基于双面声压测量的声场分离方法的比较说明了其优越性。结果表明:采用基于双面质点振速测量的声场分离方法可以有效实现声场分离;基于双面质点振速测量的声场分离方法可以获得更高的质点振速分离精度,而基于双面声压测量的声场分离方法可以获得更高的声压分离精度。

All the current sound field techniques are based on double layer pressure measurements or single layer pressure-velocity measurements.An alternative method using double layer particle velocity measurements based on the two-dimension spatial Fourier transform algorithm is proposed.The theoretical description of the proposed method is first given,and a numerical simulation is used to demonstrate the validity and advantage of the proposed method.The results show that the proposed method can separate the particle velocities generated by the sources on the two sides of the measurement surface effectively.By comparing with the method using double layer pressure measurements,we found that the most accurate separation of the pressure on the measurement surface is obtained on the basis of pressure measurements,and the most accurate separation of the particle velocity on the measurement surface is obtained from particle velocity measurements.