Mission Intelligence Sensor Management and Data Fusion Automation & Collaboration Tool (MISMADFACT) for Dense Target Environments
Navy SBIR FY2010.1
Sol No.: |
Navy SBIR FY2010.1 |
Topic No.: |
N101-101 |
Topic Title: |
Mission Intelligence Sensor Management and Data Fusion Automation & Collaboration Tool (MISMADFACT) for Dense Target Environments |
Proposal No.: |
N101-101-0556 |
Firm: |
Jove Sciences, Inc. 377 South Nevada Street
Carson City, Nevada 89703 |
Contact: |
James Wilson |
Phone: |
(949) 366-6554 |
Abstract: |
The AquaQuIPS multi-INT, ship track data fusion engine has shown exceptional performance during numerous Navy Exercises, including Trident Warrior 08 and Trident Warrior 09. AquaQuIPS finished as a Top Ten technology and has been chosen for an experiment to interdict self powered semi submersible (SPSS) contacts in TW-10. AquaQuIPS has been integrated into a large NAVSEA Program of Record five years ago called Undersea Warfare Decision Support System based on its performance relative to that of other data fusion processors. Using this real time experience and excellent performance, a design concept for a Mission Level Modeling and Simulation Processor is proposed for six levels of processing: sensor inputs: net sensor GRIDs, single sensor trackers; data fusion engine modeling in dense target environments; abnormal behavior detection; and strategic and tactical courses of action decisions. The Mission Intelligence Sensor Management and Data Fusion Automation & Collaboration Tool (MISMADFACT) design is described for each of the six levels, and a new Simulated Annealing algorithm is introduced for difficult optimization problems. A unique approach for abnormal behavior detection is described based on Fleet operator inputs from TW-08 and TW-09. The Option Task focuses on the unique data fusion issues of introducing an acoustic sensor. |
Benefits: |
AquaQuIPS (AQ) now inputs over ten national and tactical sensors and models the sensor accuracy, sensor hit density, and data time lateness to produce an AQ output track merit score. The AQ output track also weights each sensor input by the inverse of the error ellipses to produce accurate tracks compared to Ground Truth. These are just the features that must be input to the M&S processor developed here so that ship routing companies can ensure the safe and economical routing of their customer ships. With the explosion of unclassified commercial satellite SAR and Automatic Information System (AIS) data becoming available in the near future, the AQ M&S processor can be used to identify the impact od numerous distributed sensors have on specific ship routes. AQ is being asked to develop an Anti-Piracy data fusion processor now because of its demonstrated capability to detect and accurately track EMCON silent (or "dark") contacts in Trident Warrior -08 and 09. For example, Somali pirate ships are generally dark and must be tracked as they approach transiting merchant ships carrying valuable cargo. The M&S aq BASED MISMADFACT processor developed in the Phase II effort of this proposal will be invaluable in forecasting safe passage of ships in pirate rich areas. Beyond the Navy applications (ASW, Finding NEMO, Anti Piracy) for MISMADFACT mentioned above, the US Coast Guard, Air Force with their NCCT/AQ Data Fusion Processor, Merchant Marine agencies, commercial ship routing companies, individual shipping owners, Coalition Partner Navies, Customs & Border Patrol, the Air and Marine Operations Center (AMOC) at March Air Force Base, the Army's Joint IED Defeat Organization (JIEDDO), CIA, FBI, and many more customers are in critical need of MISMADFACT right now. All these different applications would have a different set of sensors available to them and Figure 5 illustrates the methodology for developing MISMADFACT for non acoustic sensors. If an acoustic sensor is useful and available MISMADFACT's PADFIT fusion tree shown in Figure 9 illustrates the way to fuse NB, BB, SWATH, and active acoustic data, and the way to perform acoustic LOB vs. time track and AQ/SM LAT/LONG vs, time track fusion. |
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