Uniform Sound Field Reconstruction Algorithm Based on Total Least Squares in Non-Free Field

Dengqiang Li, Hongliang Zhang
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Abstract

In order to obtain the uniform distribution of sound field in the target region, the least square method is usually used to obtain the approximate solution based on free field. However, the assumption of free field does not take into account the complexity of the actual transfer function, and the least square method does not take into account the error of measurement transfer function and the ill-condition of the least square solution. To solve this problem, the transfer function of non-free field array is obtained experimentally. The error of the transfer function is taken into account by the total least square method and the ill-condition of the solution is suppressed by truncating singular value decomposition. Simulation and experiment show that this method can obtain more uniform sound field distribution in the target area
非自由场中基于总最小二乘的均匀声场重构算法
为了得到目标区域声场的均匀分布,通常采用基于自由场的最小二乘法来求得近似解。但是,自由场假设没有考虑实际传递函数的复杂性,最小二乘法也没有考虑测量传递函数的误差和最小二乘解的病态性。为了解决这一问题,通过实验得到了非自由场阵列的传递函数。利用总最小二乘法考虑了传递函数的误差,利用截断奇异值分解抑制了解的病态性。仿真和实验结果表明,该方法可以获得较为均匀的声场分布
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