Moving source detection using microphone array measurements based on Euler equations

This paper presents an adjoint-based approach for the detection of moving sound sources using computational aeroacoustic techniques. The method addresses the well-known challenge of limited measurement samples and applies an adjoint framework to standard benchmark cases to evaluate its effectiveness for moving sources. Results show that the approach can accurately detect moving sound sources using short-duration microphone signals without requiring additional assumptions. The method is robust to noise and spatial microphone misalignment. Furthermore, the time-domain formulation allows for the computation of an adjoint sound field that provides deeper insight into the source characteristics and includes all relevant physical mechanisms as described by the non-linear Euler equations.