On the Upscaling of Higher-Order Ambisonics Signals for Sound Field Translation

We propose a framework for improved sound field translation of higher-order Ambisonics signals extending the limits of conventional methods. In a first stage, the input signal is upscaled to an increased spherical harmonics truncation order using sparse plane wave recovery. This allows to provide additional spatial information to the second stage where any existing translation method can be used. In order to gain insights into the system's behavior, key parameters are assessed individually. We demonstrate the potential of the proposed framework by operating the plane wave translation with large displacements beyond its original capabilities. In an extensive simulation, the performance could be improved significantly. Our proposition may find application in recorded virtual reality applications in which the user is able to perform translational movements in the scene.