Components of UPS

Research and Development
2004
2006
2005
2007
2008
2009
2010
2011
AOSN-II
Adaptive Sampling and Prediction (ASAP)
Autonomous Wide Aperture Cluster for Surveillance (AWACS)
Undersea Persistent Surveillance (UPS)
Persistent Littoral Undersea Surveillance (PLUS)
Basic Research Program
Exploratory Development Program
Advanced Development Program
Slide 1
Undersea Persistent Surveillance (UPS) Stages
Needs
Stage 0
Noise Statistics
Glider fleet
Targeted measurements
Data assimilative models
Signal Cues
Remote Sensing
Ocean Fields with Uncertainty
Ocean Nowcast / Forecast
Stage I
Adaptive Search
Stage II
Adaptive DCLT
Opportunities
Environment exploitation
algorithms
Efficient propagation
models
Mobile, adaptive aperture
passive arrays
Vector sensor arrays
Efficient optimization
algorithms
Efficient intercept algorithms
Advanced signal processing
Mobile, self-focusing
passive arrays
Cooperative behavior
Convergence optimization
Mobile, network control
Stage III
Adaptive Convergence
Slide 2
Stages 0 and I Key Questions
AOSN-II
Environment
How to obtain the best
field estimates given
sparse sampling?
What advantage does
targeted observation
give to predictive skill?
ASAP
What advantage does a
clustered, adaptive architecture
provide to predictive skill?
Feature tracking
Objects
…..
…..
…..
Target glimpse
What advantage does
adapting to the environment
provide to detection?
What gain advantage do
mobile, vector arrays
provide?
UPS
What advantage does a nested,
adaptive aperture antenna
provide to detection?
AWACS
Slide 3
In-Situ Data
Mobile
sensors
Adaptive
Sampling
Strategies
Lagrangian &
Fixed sensors
Remote Sensing
Data
Databases
Data Assimilation
Models
Environment
Analysis & Prediction
Constituent Fields
Current fields
Biological thin layers
Field Sampling
Decision
External Forcing
Object
Analysis & Prediction
Detection,
Classification,
Localization, Tracking
(DCLT) Decision
Feedback reduces error
Slide 4
Passive Vector Sensor Arrays
E-Field Sensors
Acoustic and Ocean Models
Targeted Observations
Directional Sensitivity
Adaptive Feedback
UPS
Cornerstones
Mobility, Persistence
Autonomous Underwater Vehicles
Acoustic Modems
Autonomous DCLT
Autonomous DCL & Automated Tracking
Slide 5
Example Coverage Analysis for All Gliders in AOSN-II
 varies 2 km (at shore) to 10 km (at 4000m depth), t = 24 hours,
Outside black contour, locations not sampled for 48 hours.
Number of WHOI/SIO Profiles Throughout August 2003
600
WHOI
SIO
Number of Profiles
500
400
300
200
100
0
1
3
5
7
9
11
13
15 17
19
21
23
25
27
29
31
Day in August 2003
Slide 6