Multi-Dimensional Ambient Noise Model -- 18-005

The Navy needs a multi-dimensional ambient noise model (MDAMN) which can account for the characteristics of noise due to wind, wave action, rain and shipping as a function of time, direction and location over a broad range of tactical frequencies and operational environments. Metron proposes to build an MDANM tool that aims to maximally leverage all available information sources and computes the directional noise field and associated array gain in an accurate and efficient manner. One of the key differentiators of the proposed product is its ability to adaptively adjust the underlying physics models and input data sources based on the use case parameters to provide proper tradeoff between speed and accuracy. A second differentiator is the combined use of Monte Carlo methods with real time shipping information to improve shipping noise estimates. The framework components of MDANM will be based on feedback from stakeholders and end-users for output to the next-generation Submarine Tactical Decision Aid (STDA). Enhancing the reliability and accuracy of detection modeling will lead to an increase the utility of TDAs, and allow operators to make better strategic and/or tactical recommendations.