CAJ | 학술논문

针对近场声全息技术中有限测量孔径问题，提出一种基于极限学习机的全息声压外推与插值方法。该方法将初始全息面上的测量数据作为网络的输入样本进行训练学习，将未知的全息面声场当做目标值进行预测，实现全息数据的外推与插值，并对影响外推与插值结果的参数进行分析。利用外推或插值后的全息数据进行重建，将重建结果进行比较。结果表明：该方法相对于传统方法获得了更高的重建精度，解决了测量孔径有限造成的较大重建误差，在不增加测点情况下提高了重建图像的空间分辨率。同时，该插值技术也可用于非自由声场环境中，仿真结果验证了该方法的稳健性和优越性。
침대근장성전식기술중유한측량공경문제，제출일충기우겁한학습궤적전식성압외추여삽치방법。해방법장초시전식면상적측량수거작위망락적수입양본진행훈련학습，장미지적전식면성장당주목표치진행예측，실현전식수거적외추여삽치，병대영향외추여삽치결과적삼수진행분석。이용외추혹삽치후적전식수거진행중건，장중건결과진행비교。결과표명：해방법상대우전통방법획득료경고적중건정도，해결료측량공경유한조성적교대중건오차，재불증가측점정황하제고료중건도상적공간분변솔。동시，해삽치기술야가용우비자유성장배경중，방진결과험증료해방법적은건성화우월성。
Due to the finite measurement aperture in the near-field acoustic holography(NAH)technology,a meth-od for hologram data extrapolation and interpolation based on the neural network extreme learning machine was pro-posed. The network was constructed by treating the measurement data of the initial holographic plane as the training sample of the network and the acoustic field of the unknown holographic plane as the target value of the forecast, thus realizing extrapolation and interpolation of the holographic data,and then the parameters were analyzed that in-fluence the results of extrapolation and interpolastion.Comparisons of the reconstructions which using the extrapola-tion or interpolation holographic data,show that the reconstruction results obtained by this method achieve better sound field reconstruction accuracy as compared with the traditional method. The sound field reconstruction accura-cy can be effectively improved by the data extrapolation from small aperture measurement data. The accuracy and the resolution of the reconstruction with a few sensors can also be effectively improved by the data interpolation. This interpolation technology can also be used in a non-free acoustic field environment. The robustness and superiority are verified by the simulation results.