Contribution
Adjoint based identification of moving sound sources considering rigid walls
* Presenting author
Abstract:
Sound source identification is a common challenge in acoustics, where the goal is to determine various parameters of one or more sound sources, such as their signals and positions. Microphone arrays, using beamforming techniques, are typically used for this purpose. However, the identification of moving sound sources - such as aircraft, cars, trains, or drones - poses a particular challenge. This is especially true when these sources are within the array's detection range for only a short period of time.Recent research has introduced an adjoint-based method that uses computational aeroacoustics to identify and characterize free-moving sound sources in the time domain. This approach is highly robust to disturbances and can accurately identify moving sound sources with limited measurement data and without additional assumptions.Further developments have extended this method to include the effects of sound-reflecting rigid walls in the computational domain. These walls are modeled using a technique known as volume penalization. The current work investigates how the parameters of these walls affect the identification process of moving sound sources.