Abstract:To investigate the application of underwater vehicle wake vortices in underwater target detection, this study conducted simulation and analysis of wake vortex fields under straight navigation, pitching, and yawing conditions using Fluent software and the fully appended Suboff model. The research focused on phase characteristic variations of acoustic signals in underwater vehicle wake fields. Results demonstrate that when detecting yaw-induced wake vortices with vertical linear arrays, significant phase jumps occur in acoustic signals. Similarly, horizontal linear arrays detecting pitch-induced wake vortices exhibit distinct phase jumps. However, symmetric spatial structures of straight navigation-induced wake vortices prevent noticeable phase jumps in both array configurations. Variations in vehicle motion parameters alter spatial distribution and intensity of wake vortices, thereby affecting phase jump characteristics. By leveraging the correlation between vehicle motion states and wake vortex fields, along with the association between wake vortex fields and acoustic signal phase jumps, an indirect detection method could be developed for underwater vehicle detection and motion state identification.