Sound Field Reproduction System Tracking Environmental Variations With Deconvolution

In this paper, we propose a novel sound field reproduction system using the deconvolution. In the conventional sound reproduction systems, the preprocessing filters are generally determined and fixed based on transfer functions from loudspeakers to control points in advance. However, movements of control points result in severe localization errors. Therefore, we have already proposed a sound field reproduction system using the simultaneous perturbation (SP) method which updates the filter coefficients only using error signal. However the SP method suffers from the disadvantage of slow convergence. Hence, we newly propose a sound field reproduction system using Deconvolution Algorithm (DA) which has the advantage of the fast convergence. The DA updates the filter coefficients using the signals which input to the loudspeakers and the observing microphones. Simulation results demonstrate that the proposed method can track the movements of control points and has reasonable convergence speed.