ANIMA D4.1 - Scenarios calculations for listening tests

One of the topics of research in ANIMA is the effectiveness of the use of a Virtual reality device for credible communication and engagement with people around airports. As input to this kind of device one needs realistic noise signatures.

For existing aircraft, experimental data (aircraft noise recordings) can be used. For novel aircraft however, only existing on the drawing board, such experimental data is obviously not available. To fill this gap, noise predictions will be made with the Noise Reduction Solutions Simulator, which is part of the Virtual Community Toolchain that is being developed in ANIMA WP4. This Simulator will be capable of predicting noise spectra of novel aircraft including noise reduction technology concepts, which, in turn, can be fed to noise synthesis tools (in this report also called auralization tools) to create realistic noise signatures. This combination of noise prediction and noise synthesis will be called auralization toolchain in the following.

At present the Noise Reduction Solutions Simulator is still under development and no reliable noise predictions can yet be made. However, an important aspect of the auralization toolchain can already be tested: the interface between the Simulator and noise synthesis tools. The goal is to have a noise prediction tool that can be plugged to any available noise synthesis tool.

This report describes the methodology used in the Simulator, comprised of two tools, FRIDA and SOPRANO, to get noise spectra from data characterizing an aircraft flight. Additionally, a representative sample datafile is described, with which this interface test can be performed, and which will allow for an early detection of any issues interfacing the components.