| Sol No.: |
Navy SBIR FY2016.1 |
| Topic No.: |
N161-004 |
| Topic Title: |
Maritime Traffic Model Aided Tracking |
| Proposal No.: |
N161-004-0553 |
| Firm: |
RDRTec Inc.
3737 Atwell St.
Suite 208
Dallas, Texas 75209 |
| Contact: |
Duy Nguyen |
| Phone: |
(214) 353-8755 |
| Web Site: |
http://www.rdrtec.com |
| Abstract: |
The RDRTec team proposes to study the feasibility of an innovative maritime traffic model based tracker (M-TMBT) that integrates our maritime traffic flow model with our state-of-the-art multiple hypothesis tracker and self-learning technology to capture the complex interaction between the vessels and their environment, and achieve dramatic improvement in track life and accuracy. The resulting track quality will support our ongoing work in maritime classification aid (MCA), which is targeted for integration into the Navy Minotaur environment. The RDRTec team proposed M-TMBT system will increase track life expectancy by more than an order of magnitude over the state-of-the-art trackers. Our sensor-agnostic solution will enable highly automated and rapid post-mission analysis in addition to a radical shift toward real-time interdiction of targets in the most complex maritime environments. The three primary modules of the M-TMBT system include: 1. maritime traffic model; 2. self-learning; and 3. tracker. |
| Benefits: |
The proposed work extends ongoing RDRTec MCA development activities in maritime situational awareness (MSAA) in order to develop actionable information and support the determination of hostile action and/or hostile intent . At the completion of this effort RDRTec will be postured for the Phase 2 effort. The system performance enhancements shown by this research will potentially lead to enhanced radar capabilities for the APS-153 radar and potentially to radars like AN/ZPY-4 and AN/ZPY-3. |