Stealthy Radiofrequency-based Alternative Positioning, Navigation, and Timing (STRAP) Navy SBIR FY2016.1 Sol No.: Navy SBIR FY2016.1 Topic No.: N161-002 Topic Title: Stealthy Radiofrequency-based Alternative Positioning, Navigation, and Timing (STRAP) Proposal No.: N161-002-0302 Firm: Charles River Analytics Inc. 625 Mount Auburn Street Cambridge, Massachusetts 2138 Contact: Wayne Thornton Phone: (617) 491-3474 Web Site: http://www.cra.com Abstract: GPS performance can be degraded or disabled by radiofrequency (RF) jamming, RF interference, cyberattacks on satellite controls, or attacks on satellites/ground stations. Given these GPS vulnerabilities, military systems must be Navwar compliant-i.e., not reliant on a single source of positioning, navigation, and timing (PNT) data. Possible alternative PNT technologies include E-LORAN; improved inertial navigation (NAV); terrain-following, gravimetric, and geomagnetic systems; vision-based NAV; improved celestial NAV; and systems that exploit RF signals of opportunity. However, no current PNT technology provides covert, jam-resistant localization with accuracy comparable to GPS. To enable accurate NAV in contested environments, Charles River Analytics proposes to design and demonstrate a system for Stealthy RF-based Alternative PNT (STRAP). STRAP will meet three requirements. First, STRAP will use an innovative, RF-based localization technology that is covert, jam-resistant, GPS-independent, and as accurate as GPS. Second, STRAP software will intelligently fuse data from multiple sensors and localization sources (based on their real-time availability and accuracy) to generate accurate estimates and ensure adaptable, robust performance under varying conditions. Third, STRAP hardware will be small, lightweight, and low-power to be compatible with platforms such as F-35 Joint Strike Fighters, unmanned aerial vehicles (UAVs), and precision guided munitions (PGMs). Benefits: We expect the navigation capability developed under STRAP to have immediate and tangible benefit for several programs, including the F-35 Joint Strike Fighter (JSF) program, various UAV programs, and programs developing improved PGMs. Our work to design a Context Awareness Engine and improved Extended Kalman Filter will also contribute to more reliable UUV navigation, a key requirement outlined in the Navy UUV Master Plan and the DoD Unmanned Systems Integrated Roadmap. We also plan to target the market for tracking first responders and their canines in GPS-denied areas. These technologies can also improve the indoor and outdoor navigation capabilities of devices such as smartphones and ground vehicle-based navigation systems. Return