1. Slide 1 2005 200620072008 2009 2010 2004 Adaptive Sampling and Prediction (ASAP) AOSN-II Undersea Persistent Surveillance (UPS) Autonomous Wide Aperture Cluster for Surveillance (AWACS) Persistent Littoral Undersea Surveillance (PLUS) 2011 Basic Research Program Exploratory Development Program Research and Development Advanced Development Program

2. Slide 2 Stage 0 Ocean Nowcast / Forecast Stage I Adaptive Search Stage II Adaptive DCLT Stage III Adaptive Convergence Advanced signal processing Signal Cues Noise Statistics Ocean Fields with Uncertainty Needs Environment exploitation algorithms Mobile, adaptive aperture passive arrays Efficient optimization algorithms Mobile, self-focusing passive arrays Convergence optimization Opportunities Glider fleet Remote Sensing Data assimilative models Efficient propagation models Vector sensor arrays Targeted measurements Efficient intercept algorithms Cooperative behavior Mobile, network control Undersea Persistent Surveillance (UPS) Stages

3. Slide 3 What advantage does adapting to the environment provide to detection? What advantage does a clustered, adaptive architecture provide to predictive skill? How to obtain the best field estimates given sparse sampling? Stages 0 and I Key Questions What advantage does targeted observation give to predictive skill? Feature tracking Target glimpse Environment Objects What advantage does a nested, adaptive aperture antenna provide to detection? ….. ….. ….. What gain advantage do mobile, vector arrays provide? AOSN-II ASAP UPS AWACS

4. Slide 4 In-Situ Data Remote Sensing Data Databases Mobile sensors Lagrangian & Fixed sensors Data Assimilation Models Environment Analysis & Prediction Adaptive Sampling Strategies Feedback reduces error External Forcing Constituent Fields Current fields Biological thin layers Object Analysis & Prediction Field Sampling Decision Detection, Classification, Localization, Tracking (DCLT) Decision

5. Slide 5 Passive Vector Sensor Arrays E-Field Sensors Autonomous DCL & Automated Tracking Acoustic and Ocean Models Targeted Observations Mobility, Persistence Adaptive FeedbackDirectional Sensitivity Autonomous DCLT Autonomous Underwater Vehicles Acoustic Modems Cornerstones UPS

6. Slide 6 Example Coverage Analysis for All Gliders in AOSN-II  varies 2 km (at shore) to 10 km (at 4000m depth),  = 24 hours, Outside black contour, locations not sampled for 48 hours.