In-node Processing for Low Power Target Detection, Classification, Localization, & Tracking
Navy SBIR FY2014.1

Sol No.: Navy SBIR FY2014.1
Topic No.: N141-070
Topic Title: In-node Processing for Low Power Target Detection, Classification, Localization, & Tracking
Proposal No.: N141-070-0098
Firm: Analysis, Design & Diagnostics, Inc.
317 West Forsyth St.
Jacksonville, Florida 32202-4307
Contact: Gary Donoher
Phone: (904) 475-0094
Web Site:
Abstract: As a company experienced in passive acoustic sensor and signal processing design and development, Analysis, Design & Diagnostics, Inc. (AD&D) understands that the ability to detect and classify sea-born vessels with a very high Probability of Correct Classification (Pcc) and a very low Probability of False Classification (Pfc) is an extremely challenging undertaking. The primary method currently used by AD&D is to employ optimal detectors designed to exploit traditional narrowband, broadband and active acoustic emissions from targets of interest. We recognize, however, that there is enormous potential in novel classification algorithms developed in other fields such as computational neuroscience, one of which is Cortical Processing. Under this SBIR we will investigate the feasibility of using Cortical Processing to classify sea-born vessels to a Taxon level.
Benefits: The ability to automatically detect and classify submarines from surface ships with a very high probability of correct classification (Pcc) using in-node processing is critical to the success of the Advanced Undersea Weapons System (AUWS). If cortical processing can be shown to improve Pcc or assist classification using traditional methods it will provide the U.S. Navy with an unprecedented capability. Cortical Processing will help to ensure the performance capability is able to tolerate environment variability, multiple targets, and a diverse set of surface and submerged targets, as needed, for effective weapon performance.