Slide 1

2005 2006 2007 2008 2009 20102004

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

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

OpportunitiesGlider 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

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

Slide 4

In-Situ Data Remote Sensing

DataDatabases

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

Slide 5

Passive Vector Sensor ArraysE-Field Sensors

Autonomous DCL & Automated Tracking

Acoustic and Ocean ModelsTargeted Observations

Mobility, Persistence

Adaptive FeedbackDirectional Sensitivity

Autonomous DCLT

Autonomous Underwater VehiclesAcoustic Modems

CornerstonesUPS

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.

Number of WHOI/SIO Profiles Throughout August 2003

0

100

200

300

400

500

600

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31

Day in August 2003

Nu

mb

er

of

Pro

file

s

WHOI

SIO