Multi-Sensor Data Fusion for Littoral Undersea Warfare
SSC will develop methods to automatically fuse high clutter rate active and passive sonar contact information with improved data registration. Using its active sonar system performance model it will augment its active/passive fusion models and conduct system studies to determine operational concepts that improve detection, classification and localization of subsurface targets. SSC will implement Bayesian track-before detect technology, a new OMI concept that leverages spatial reasoning within advanced acoustic based buoy positioning software. SSC and Boeing will conduct Monte-Carlo warfare fighting analysis of passive/active sonar fusion to identify the field deployment patterns and sensor capabilities needed for both search and localization phases of the ASW mission.
Our Phase I technical objectives are:
BENEFITS: This effort will develop and demonstrate an operational concept and candidate sensor fusion algorithms that improve subsurface target detection, classification and localization performance on multiple passive and active sensors.
The SSC goal is to obtain funding from NAVAIR in Phase II to develop and demonstrate the Multisensor Data Fusion System capability suitable for ASW operations. Results of these spiral development and insertion efforts, as focused by Boeing, would be transitioned for use aboard the new MMA aircraft. If selected for inclusion in the MMA software suite, SSC will pursue commercialization in Phase III as a small business subcontractor with Boeing. We will negotiate, using our SBIR data rights, with NAVAIR and Boeing for the right to develop application software in accordance with a Boeing defined common operating environment. Generally speaking our lower indirect rate structure offers to the government and prime contractors a best value for developing application software such as LEPE ad ECTS.
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