A MULTISPECTRAL-MULTIDIMENSIONAL APPROACH TO AUTOMATIC DETECTION / CLASSIFICATION D/C OF TORPEDOES

THE OBJECTIVE OF PHASE I OF THIS PROJECT IS DEVELOPMENT OF THE SOFTWARE LOGIC FOR AUTOMATIC DETECTION/CLASSIFICATION (D/C) OF TORPEDOES BASED ON EXPLOITATION OF WEAPON RADIATED NOISE AND WEAPON MOTION. ACHIEVEMENT OF THIS OBJECTIVE REQUIRES THE DEVELOPMENT AND TECHNICAL INTEGRATION OF-SIGNAL PROCESSING AND MODELS OF WEAPON NOISE AND OWN PLATFORM SONAR SELF-NOISE. * PROGRESS FOR AUTOMATIC D/C OF TORPEDOES BY SUBMARINES AND SURFACE SHIPS WILL RESEARCHED THROUGH DETAILED CONTACTSWITH NUSC AND NCSC SCIENTISTS, AND THE LATEST D/C TECHNIQUES WILL BEEVALUATED. PROCESSING REQUIREMENTS WILL BE DETERMINED FOR ALL SIGNATURE ELEMENTS OF TORPEDO RADIATED NOISE INCLUDING PROPULSION NOISE CAUSED BY TURBINE AND SWASH PLATE ENGINES AND ELECTRIC MOTOR OR MAGNETOHYDRODYNAMIC (MHD) DRIVE. THE USE OF TORPEDO SONAR TRANSMISSIONS AND TORPEDO RADIATED NOISE AND THE SPATIAL AND TEMPORAL ATTRIBUTES DERIVEDFROM INDICATIONS OF TORPEDO POSITION, MOTION, AND CHANGES THEREFROM WILL BE EVALUATED. METHODS WILL BE DEVELOPED SO THAT RECEIVED ACOUSTIC DATA WILL BE PROCESSED TO DECONVOLVE THE MEDIUM TRANSFER FUNCTION, AND THE HOST PLATFORM NOISE FIELD FROM THE DESIRED SIGNAL THROUGH DEVELOPMENT AND USE OF PLATFORM DYNAMIC NOISE MODELS AND MEDIUM ADAPTIVEACOUSTIC PROPAGATION MODELS.