Anti-Torpedo Data Fusion and Optimization System (ATDOS)

In this project we will further develop the Anti-Torpedo Data Fusion and Optimization System (ATDOS), which promises significant improvement in the effectiveness of the Torpedo Warning System (TWS) being developed by PMS 415 for Aircraft Carriers and other High Value Large Deck ships. The main principles involved are that: (1) Complex, multi-hypothesis data fusion can be made to support combat systems such as Torpedo Defense at high data rates, using all available sensor data without introducing delays, (2) Sophisticated Bayesian inference techniques can be used in real-time to accurately classify objects, prioritize objects for focused investigation by automated systems (and operators), and provide alerts concerning high interest events such as incoming torpedoes, (3) A non-Gaussian tracker can be utilized for high interest targets (such as torpedoes) to develop real-time probability maps that accurately predict future target location, and (4) Resource allocation algorithms fed by the data fusion system and the Non-Gaussian tracker can be used to improve the performance of Torpedo Defense systems (and other Combat Systems) by optimizing the use of active sonar systems and the placement of Anti-Torpedo Torpedoes