Passive Detection Model for Underwater High-speed Small Targets with Application

For accurately detecting underwater high-speed small targets, a novel passive detection model is proposed based on the three-dimensional hyper beam forming (3D-HBF)method with flexible control of beam width and side lobe, and the fuzzy support vector data description (FSVDD) detector with excellent target detection capability. And its im-plementation method is also discussed. In the scheme, 3D-HBF is carried out to obtain the beam response vectors (BSV) from original underwater acoustic signals, and then the BSV are input to the FSVDD detector to detect and orient the underwater targets intelligently. The application of the proposed model to target detection of underwater high-speed small targets in sea trial demonstrates its better detection performance and higher detection success rate and localization accuracy, compared with the conventional beam forming based detection method.