Autonomous Environmental Sensor Performance Prediction Tool for Multi-Static Active and Passive Anti-Submarine Warfare (ASW) Systems

Period of Performance: 07/21/2015 - 06/29/2017

$745K

Phase 2 SBIR

Recipient Firm

Signal Systems Corporation
1127-B Benfield Blvd Array
Millersville, MD 21108
Principal Investigator

Abstract

Signal Systems Corporation?s (SSC) Autonomous Multi-Static Performance Optimization and Recommendation Tool, or AMPORT, addresses several deficiencies with the current MPRA mission planning systems. Specifically, it improves the is the mission planning time and autonomously ingests the most current predicted environmental data available from the Naval Oceanographic Office (NAVOCEANO), as well as in-situ measured data. AMPORT also has the ability of the planning system to account for sonobuoy drift, clutter, and passive narrowband processing are other needed improvements. In Phase I SSC?s Team developed AMPORT?s capability to leverage web-connectivity to a variety of environmental data sources, including Navy-standard oceanographic products, web-published forecast models, and in-situ measurements, to dynamically model active and passive sensor performance. Performance predictions are autonomously and continuously updated as the publishing institutions provide new data. These predictions can be used by the AMPORT tool to automatically produce optimized sensor field layouts and settings, or delivered directly to Likelihood Ratio Tracker (LRT) and other processing, such as Adaptive Ping Scheduling.