Fusion Detection Method for Active Sound Field and Passive Electric Field of Unmanned Underwater Vehicle based on Multi-level Decision Fusion Center

Unmanned underwater vehicle (UUV) is widely used in maritime field, and detection technology is the premise and foundation for them to complete various complex tasks. However, existing method of detection is limited to single physical field, such as acoustic field and other non-acoustic field, which can not meet the increasing demand for the field of maritime detection, resulting in false alarms and missed detections in the face of complex maritime environment. In this article, We propose a fusion detection method for active sound field and passive electric field of UUV based on multi-level decision fusion center. By signal processing and multi-level decision fusion center, fusions of multiphysical field and multi-channel are realized, improving the detection accuracy and reliability of UUV. The experimental results show that the detection performance is significantly improved after fusion, including higher accuracy and lower false alarm rate. This study provides a promising method for the field of maritime exploration to achieve fusion detection.