SBIR/STTR Award attributes
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. For the Phase II effort ARiA proposes a two-part plan for developing and fielding the MDANM noise model and a set of algorithms that will enable MDANM predictions to be best used in tactical decision aids (TDAs) and simulated stimulation (SIM/STIM) trainers developed by Naval Surface Warfare Center Carderock Division (NSWCCD) using the same common baseline.