波数域滤波迭代近场声全息

ITERATIVE NEAR-FIELD ACOUSTIC HOLOGRAPHY WITH K-SPACE FILTER

介绍了波数域滤波迭代近场声全息算法,并对其对常规波数域滤波近场声全息的补偿作用进行了研究。从控制论的角度在理论上验证了这种算法的可行性和正确性,并且数值仿真的结果和理论分析的结论具有很好的一致性。波数域滤波迭代近场声全息能有效地弥补常规波数域滤波近场声全息由于加窗而带来的能量泄露,能准确地实现噪声源的定位。

Iterative NAH (Near-field acoustic holography) with K-space filter is introduced into compensating the normal K-space filtering NAH for the energy loss, which caused by the filtering with K-space filter. The validity and feasibility is proved by the cybernetics, and that is also proved by the results of the numerical simulations. Iterative NAH with K-space filter can overcome the energy loss caused by K-space filtering in normal K-space filtering NAH and correctly identify and localize the sound sources.