Abstract-Wave Field Synthesis aims at a physically accurate synthesis of a desired sound field inside an extended listening area. This area is surrounded by loudspeakers individually driven by their respective driving signals. Recently, the authors have published an approach for so-called Local Wave Field Synthesis which enhances the reproduction accuracy in a limited region by applying a spatial bandwidth limitation in the circular/spherical harmonics domain to the desired sound field. This paper presents an efficient time-domain realisation of the mentioned approach for 2.5-dimensional synthesis scenarios. It focuses on the modelbased rendering of virtual plane waves and point sources. As an outcome, the parametric representation of the driving signals for both source types allows for the reproduction of time-varying acoustic scenarios. This also includes an adaptation to the tracked position of a moving listener. The realisation is compared with conventional Wave Field Synthesis regarding the spatial structure and spectral properties of the reproduced sound field. The results confirm the findings of the prior publication, that the reproduction accuracy can be locally improved with Local Wave Field Synthesis.
Abstract-Wave Field Synthesis (WFS) is a spatial sound reproduction technique aiming at a physically accurate reconstruction of a desired sound field within an extended listening area. It was shown in a recent study that the accuracy of the synthesized sound field can be improved in a local area by applying a spatial band-limitation to the driving function. However, the computational complexity of the frequency-domain driving function is demanding because of the involved Bessel functions. In this paper, a time-domain WFS driving function is introduced for the synthesis of a spatially band-limited plane wave. The driving function is obtained based on a time-domain representation of the sound field which is given as a superposition of plane waves with time-varying direction and amplitude. The performance of the proposed approach is evaluated by numerical simulations. Practical issues regarding the discretization of the analytic driving function and dynamic range control are discussed.
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