Autonomous Intelligent Store Tracker Sensor (AISTS) Navy SBIR FY2011.2 Sol No.: Navy SBIR FY2011.2 Topic No.: N112-094 Topic Title: Autonomous Intelligent Store Tracker Sensor (AISTS) Proposal No.: N112-094-0877 Firm: American GNC Corporation 888 Easy Street Simi Valley, California 93065-1812 Contact: Tasso Politopoulos Phone: (805) 582-0582 Web Site: www.americangnc.com Abstract: To support U.S. Navy mission readiness for carriage life monitoring and dynamic event tracking of external stores, AGNC is proposing an autonomous vibration-based system that performs event detection and identification (EDI). The AISTS builds on state-of-the-art spectrum data analysis, embedded low power sensors, advanced and high performance pattern recognition techniques, wireless communication interfaces tailored for metal enclosures, and energy harvesting schemes. Autonomy is a key system characteristic, which is enabled by an ensemble of design techniques. Evaluation of suitable technologies is addressed for customizing a miniaturized, low-power, and reliable sensing system. The AISTS will support mission success by accurate registration of elapsed time associated with dynamic events, while both in-flight and in-storage (on ground). Technological challenges involve securing a long operational life, performing communication through metal walls, and the recognition of dynamic events. Solutions are proposed by addressing a set of novel and innovative technologies within the scope of the AISTS application domain. Benefits: Because of the reconfigurable system capability, the AISTS targets different current platforms, which include AIM-9X, AMRAAM, DAM, TSSAMS, JSOW, ASRAAM, etc. Assessments about asset readiness are enabled by the AISTS technology. Applications for AISTS involve several DOD sectors such as the U.S. Air Force, NAVAIR, Army, etc. since this technology can be adapted to different types of stores (e.g. antiship missiles, surface-to-air missiles, antitank missiles, and additional air-to-air tactical missiles). Some examples of other specific areas that would benefit tremendously include: (a) structural health monitoring applications that require vibration-based analysis; (b) smart sensors deployment in metal environments and at locations that are difficult to reach (enabled by AISTS' communication and powering scheme); (c) maritime applications (vessels) where involved environments require data transfer through metal walls and enclosed metal confinements; and (d) applications that require pattern recognition capability where there is insufficient data to tailor algorithms (enabled by AISTS' self-learning capability). Return