Improved Statistically Optimal Nearfield Acoustical Holography in subsonically moving fluid medium
Abstract Statistically Optimal Nearfield Acoustical Holography (SONAH) can be used to reconstruct three dimensional sound fields by projecting two dimensional data measured on a "small" aperture that partially covers a composite sound source in a "static" fluid medium. Here, an improved SONAH procedure is proposed that includes the mean flow effects of a moving fluid medium while the sound source and receivers are stationary. The backward projection performance of the proposed procedure is further improved by using a wavenumber filter to suppress subsonic noise components. Through numerical simulations at Mach 0.6, it is shown that the improved procedure can accurately reconstruct sound source locations and radiation patterns: e.g. the spatially averaged reconstruction errors of the conventional and improved SONAH procedures are 15.40 dB and 0.19 dB, respectively, for a monopole simulation and 21.60 dB and 0.19 dB for an infinite size panel. The wavenumber filter further reduces spatial noise, e.g. decreasing the reconstruction error from 1.73 dB to 0.19 dB for the panel simulation. An existing data measured in a wind tunnel operating at Mach 0.12 is reused for the validation. The locations and radiation patterns of the two loudspeakers are successfully identified from the sound fields reconstructed by using the proposed SONAH procedure.