Continuous development and innovation in technology application are essential for enhancing ocean management capabilities and building China to a strong maritime nation. In recent years, with the advancements and widespread use of Unmanned Underwater Vehicle (UUV) technologies, such as submersibles and gliders, there is an urgent need to conduct research and deepen technologies related to detection, tracking, and disposal in complex marine environments, focusing on the aforementioned mobile targets, in order to address the issue of monitoring underwater moving targets under complex conditions. Based on existing ship seismic wave detection technology, this paper presents a vector wavefield direction-finding and tracking algorithm based on absolute azimuth correction. Furthermore, through direction-finding and tracking experiments conducted in shallow water (120 meters deep) conditions using Underwater Unmanned Submersible Vehicles (UUVs) as targets, the effectiveness of the algorithm in continuously direction-finding and stably tracking underwater moving UUV targets is verified. The experimental results show that by utilizing the low-frequency part of the UUV's own radiated noise during maneuvering, a single vector sensor can achieve continuous direction-finding and stable tracking of the UUV, Accuracy reaches ≤10°@6 km, laying a technical foundation for the next step of multi-node networking positioning detection.