A Sparse Real Time Acoustic Holography Method for Nonstationary Acoustic Source Reconstruction

Xingguo Chen, Lin Geng, Geoffrey J. Zhang
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Abstract

A sparse real-time near-field acoustic holography method is proposed to precisely and stably reconstruct a transient sound field. In the proposed method, by using a time-domain impulse response function, a time domain convolution equation between the time-wavenumber pressure spectra on the hologram and reconstruction planes is first established. Then, for obtaining the time-wavenumber pressure spectrum on the reconstruction plane, a smoothed $\ell_{0}$ -norm optimization algorithm is applied to solve the serious ill-conditioned problem in the inverse process. The key of solving this problem is to approximate replace the discontinuous $\ell_{0}$ -norm by using a suitable continuous Gaussian function family, and the steepest ascent algorithm is introduced to minimize the continuous function for obtaining the optimal solution. Finally, the pressure time-wavenumber spectra on the reconstruction plane at all wavenumbers for all times are solved, and the corresponding time-dependent pressures are acquired by the two-dimensional inverse Fourier transform. A numerical simulation with a baffled planar piston is conducted to observe the performance of the proposed method. The simulation results prove that the proposed method can accurately reconstruct the transient sound field. The reconstruction results are also compared to those of real-time near-field acoustic holography with Tikhonov regularization and YALL1 modal to verify the superiority of the proposed method.
一种用于非平稳声源重建的稀疏实时声全息方法
为了精确稳定地重建瞬态声场,提出了一种稀疏实时近场声全息方法。该方法首先利用时域脉冲响应函数,建立了全息图上的时间波数压力谱与重建面之间的时域卷积方程。然后,为了获得重构平面上的时间波数压力谱,采用光滑的$\ell_{0}$范数优化算法解决逆过程中的严重病态问题。解决该问题的关键是用合适的连续高斯函数族近似代替不连续的$\ell_{0}$ -范数,并引入最陡上升算法对连续函数进行最小化,从而得到最优解。最后,对重构平面上各时刻各波数下的压力时间波数谱进行求解,并通过二维傅里叶反变换得到相应的随时间变化的压力。最后以平面折板活塞为例进行了数值模拟,验证了该方法的有效性。仿真结果表明,该方法能够准确地重建瞬态声场。并将重建结果与Tikhonov正则化和YALL1模态实时近场声全息的重建结果进行了比较,验证了所提方法的优越性。
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