Reconstruction Techniques Of Typical Sound Field Based On Green's Functions

Underwater noise source location and identification by sound field reconstruction methods based on the known information of the sound field are necessary for effective noise control. Therefore it's important in the sound field reconstruction to study the Green's Function, which is the transfer function between the noise source and the sound field.The planar near-field acoustic holography is studied in this paper based on Green's Functions, which are discussed together with their angular spectrums in two homogeneous planar boundary conditions. The finite discrete forms of Green's Functions and their influence on the reconstruction are analyzed and calculated. Two reconstruction algorithms and the corresponding Green's Functions are compared, one of which is based on the measured sound pressure and the other on the measured particle velocity. The reconstruction results as well as the sensibilities to the measured errors in the two algorithms are simulated and compared. Proper reconstruction techniques in practical environment are obtained based on the analysis of the processing results of the experiment data in Songhua Lake.It's concluded from the simulations and the analysis of the data processing results that it's helpful to the sound field reconstruction to get accurate finite discrete forms of Green's Functions and that reconstruction method based on the particle velocity yields better results in sound source position and their relative strength than that based on sound pressure.