关键词: 改进算法, 声场分离, 声场重构, 统计最优

Abstract: In order to obtain the single source from the multi-sources, the traditional statistically optimal near-field acoustical holography method, which is based on sound pressure transmission relationship between two measurement planes, separates one sound field from another directly with the optimal method of statistical. As a result, the reconstructing surface has the same number of data points as the measuring plane, i.e. the result of reconstructing depends on the number of data point. To optimize the result of reconstructing with fewer measuring points, a modified algorithm is present. First, separately reconstruct the two sound fields with the optimal method of statistical so as to make sure that the reconstructing surface has more data points than the measuring plane. And then build the mathematical formula with both the data of measuring plane and reconstructing surface in order to realize sound field separation. Finally, according to the measurement plane data which are separated, the sound field will be previous and reconstructed. Numerical simulations have been done to analyzed results of sound field separation with the different frequencies, and experiments have been done to verify the modified algorithm. The results illustrate that the method can not only reduce the number of measuring, but also enhance the precision of separation to make the calculation more effective and accurate.

Key words: modified algorithm, sound field reconstruction, sound field separation, statistically optimal