Improved Torpedo Defense

The SBIR research has demonstrated feasibility of exploiting advanced statistical signal processing algorithms for automated classification and resolution of torpedo salvos. The Phase I research identified candidate methods and algorithms that may be used as a system to enhance salvo detection and classification. The algorithms from Phase I will be implemented as a testbed during Phase II to investigate the performance at the system level. The Phase II objective is an implementation of the design as a system. Key parameters will be tested in the lab or during a sea test if possible. The objective of the Phase II is to improve salvo resolution in endfire by investigating multi-path resolution, spectral analysis methods for extracting and resolving closely spaced narrowband acoustic signatures, and multi-mode and multi-sensor data fusion allowing for decluttering of the surface picture by taking advantage of the distributed array under development by the TWS program.