Multi-Dimensional Ambient Noise Model Navy SBIR FY2018.1 Sol No.: Navy SBIR FY2018.1 Topic No.: N181-082 Topic Title: Multi-Dimensional Ambient Noise Model Proposal No.: N181-082-0413 Firm: ARiA 1222 4th Street SW Washington, D.C. 20024 Contact: Jason Summers Phone: (202) 629-9716 Web Site: http://www.ariacoustics.com Abstract: To address the Navy need for enhanced ambient-noise modeling for sonar-sensor performance estimation, sonar tactical decision aids (TDAs), and simulation-based training, ARiA will develop, demonstrate, and transition key building blocks for an enhanced multidimensional ambient-noise model (MDANM) needed to overcome the limitations of the current state of practice for noise modeling in sonar TDAs and trainers. The Phase I effort will (1) develop a framework for MDANM and analyze and specify sonar and other data requirements necessary to develop and support MDANM; (2) establish that MDANM can feasibly meet Navy needs by detailing the proposed techniques to be used to estimate key MDANM parameters and strategies for how the data required to estimate the parameters can be obtained operationally; and (3) establish that MDANM can be developed into a useful product for the Navy by identifying the architecture, protocols, and formats for MDANM interface with and output to the next-generation STDA and other sonar TDAs developed by Naval Surface Warfare Center Carderock Division (NSWCCD) using the same common baseline. Benefits: The multidimensional ambient-noise model developed in this work will advance the state-of-the-art in ambient noise modeling to significantly enhance the performance and capabilities of TDAs. Results of the Phase I effort will provide a basis for Phase II development of an MDANM prototype and Phase III integration of MDANM in a next-generation sonar TDAs developed by NSWCCD using the same common baseline including Sonar Tactical Decision Aid (STDA) used by the submarine community, the Sonar Performance Prediction Functional Segment (SPPFS)-STDA used by the surface-ship community, and STDA-I, the STDA for Integrated Undersea Surveillance (IUSS). Commercial applications for MDANM will include use in TDAs for optimizing manned and unmanned asset deployment for environmental and ocean-bottom surveys in applications such as oil-spill monitoring and UXO surveys required prior to the burial of submerged power cables linking to off-shore wind farms on the continental shelf and other survey applications in seismic and oil exploration. Return