采用平面测量的统计最优近场声全息方法研究

常规的统计最优柱面近场声全息通常要求全息测量面与声源共形,由此计算出声场传递矩阵,进而重建目标声源声场。但在实际情况中,受测量条件限制,全息测量面有时无法做到与声源共形,限制了其应用范围。为此,综合利用统计最优平面和柱面近场声全息在重建时的各自优点,提出一种适用于的平面测量的基于柱面波函数的统计最优近场声全息方法。通过数值仿真验证了其准确性和有效性,并与平面统计最优近场声全息的重建效果进行了详细的对比分析。结果表明,对于柱状声源,该方法具有鲁棒性强,重建精度高等优点。

Statistically Optimized Nearfield Acoustical Holography Based on Planar Measurement

To calculate the sound field transfer matrix for reconstructing the sound fields generated by cylindrical sound sources,the measurement surface of the conventional statistically optimized cylindrical nearfield acoustical holography(SOCNAH)is usually require conformal to the sound source.However,the measurement surface sometimes cannot conform to the sound source due to the limit of measure conditions in practice.These situations clearly constrain the scope of applications.Combining the advantages of these two algorithms,this paper presents an improved SOCNAH method which can reconstruct the sound field accurately by using planar measurement.Numerical simulations are used to demonstrate the validity and applicability of this method.Moreover,both of the statistically optimized planar near-field acoustical holography(SOPNAH)and improved SOCNAH reconstruction results are compared.The results show that the proposed method can be used to reconstruct the sound field accurately and has a strong robustness to frequency domain.