|Acquisition Program: ||Under Sea Warfare Decision Support Systems (USW-DSS) ACAT II|
| ||RESTRICTION ON PERFORMANCE BY FOREIGN NATIONALS: This topic is “ITAR Restricted”. The information and materials provided pursuant to or resulting from this topic are restricted under the International Traffic in Arms Regulations (ITAR), 22 CFR Parts 120-130, which control the export of defense-related material and services, including the export of sensitive technical data. Foreign nationals may perform work under an award resulting from this topic only if they hold the “Permanent Resident Card”, or are designated as “Protected Individuals” as defined by 8 U.S.C. 1324b(a)(3). If a proposal for this topic contains participation by a foreign national who is not in one of the above two categories, the proposal may be rejected.|| Objective: ||Develop a multi-sensor, multi-platform automated anti-submarine warfare fusion capability that adds situational refinement and threat refinement components to existing entity fusion algorithms in order to improve the speed, accuracy, and effectiveness of the ASW commander in prosecuting multiple threats with limited assets in a multi-mission environment.
|| Description: ||Current ASW data fusion capabilities successfully perform Level 1 data alignment, contact association, and fused contact tracking to form a common tactical picture. However, current systems require Navy watchstanders to manually interpret the spatial and temporal relationships among entities on the tactical picture (Level 2 situational refinement), infer the intentions of all the contacts in the data space, and assess the threat that each contact poses to strike group platforms (Level 3 threat refinement). Current algorithms do not exploit feature measurement, classification clues, negative information, tactical events and entity relationship clues that are available from detecting sensors and the ASW common tactical picture.
The goal of this project is ASW threat assessment technology that provides situation-specific, threat-specific, and mission specific views of the battlespace from the ASW Common Tactical Picture. Algorithms that evaluate entity states based upon context and relational inferencing and algorithms that operate in an interactive manner across multiple fusion levels are desired. Successful technology will focus the strike-group ASW commander's attention on contacts of highest threat potential and reduce the time to make threat contact engagement decisions. The innovation sought here will refine the fused tactical master plot by leveraging situational assessment (Level II fusion) and threat assessment (Level III fusion) while level I state information is still uncertain and under-constrained. This will require the joint application of three levels of fusion in a single adaptive framework, where an uncertain picture at the entity level can be refined by relational inferencing across all fusion levels simultaneously, rather than sequentially.
|| ||PHASE I: Conduct the research and development that will enable the formulation of a concept and algorithm approach to produce situation-specific, threat-specific and mission-specific views from the cross-platform ASW common tactical picture. The algorithmic approach will utilize sensor data and measurements available to the strike group, including passive and active sonar, AIS, radar, Link-11/16 and national sensors. This is a high risk challenge due to the large scope of data, sensor types, latencies, and so forth. Conduct an analysis to demonstrate potential strike group ASW commander performance improvement with the proposed algorithm.
|| ||PHASE II: Develop a prototype of the automated threat assessment processing capability formulated in Phase I. The prototype shall be capable of ingesting cross-platform sensor tracks and classification feature measurements. Assess the prototype system performance using government furnished multi-sensor multi-platform data recordings from an at-sea ASW exercise.
|| ||PHASE III: Integrate the automated threat assessment processing capability into the Undersea Warfare Decision Support System product baseline. Demonstrate improved ASW engagement decision timeliness and accuracy in an at-sea operational environment.
PRIVATE SECTOR COMMERCIAL POTENTIAL/|| ||DUAL-USE APPLICATIONS: Commercial applications of this SBIR technology include commercial and residential surveillance and security systems utilizing multiple sensor types (radar, video and infra-red) and multiple sensor locations. Automated threat assessment technologies from surface, land, or perimeter surveillance systems can potentially be used in this SBIR project.
|| References: ||
1.Steinberg, A.N., Bowman, C.L. and White, Jr., F.E. "Revision to the JDL Data Fusion Model" Proc. 3rd NATO/IRIS Conf. Quebec City, Canada 1998
2. Hall, D.L., Llinas, J. "Handbook of Multi-Sensor Data Fusion", CRC Press 2001
3. Goodman, I.R., Nguyen, H.T. and Mahler, R. "New Mathematical Tools for Data Fusion", Artech House, Inc. Boston 1997
|Keywords: ||threat assessment; situational assessment; data fusion; common tactical picture; automation; anti-submarine warfare|