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![Page 1: Needs and Values Assessment Model for STAN Surveillance and Targeting Acquisition Network to Support Special Forces.](https://reader035.fdocuments.in/reader035/viewer/2022062519/5697c00e1a28abf838cc9bda/html5/thumbnails/1.jpg)
Needs and Values Assessment Model for STAN
Surveillance and Targeting Acquisition Network to Support
Special Forces
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Background• Special Forces missions rely on covert operations
• During 1991 war with Iraq, ten of 12 SF missions were compromised
• Current global war on terrorism generated greater demand for SF deployments
• SF operations are characterized by joint or allied, dynamic collaboration of wide-ranging sensors, aircraft and personnel
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Analysis of STAN at NPS• Throughout 1990’s, SF community considered
capabilities gaps• Studies pointed to improving flexible command
and control systems• Technology evolved through Afghanistan operat
ions in 2001-02• SF officer enrolls at NPS, chartered with
developing a prototype STAN capability• Summer 2003, SEA students attack the problem
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Environment
Problem DefinitionNeeds
Analysis
Value System Design
ImplementationPlanning for Action
Assessment & Control
Execution
Engineering Design Problem
Design & Analysis
Alternatives Generation
Modeling & Analysis
Decision
MakingAlternative Scoring
Decision
Cultural
Political
Historical
Moral / Ethical
Economic
Technological
<---- Assessment & Feedback by UAV Working Group--
Descriptive Scenario
Current Status: What is?
Normative Scenario
Desired End State: What should be?
Systems Engineering Design Process
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Needs Analysis: Primitive Need
• Find the enemy
• Fix enemy location, identification & actions
• Access “accidental networks”
• Provide near real-time video display
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Questions Regarding STAN
• Is there a difference between what SF want and what they need?
• Would this capability benefit only SF or is there broader functionality?
• How should tactical needs best be reflected in design requirements?
• Who should develop this system?
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Role of Systems Engineering• System of systems
– Sensors, communications, weapons & humans
• Precedented subsystems
• Client wants an integrated solution
• Complex interactions and dynamic operating environment demand new approaches– How does the system affect the operation and
how does the operation affect the system?
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Systems Engineering & Design
• Define the problem
• Analyze the need
• Develop and prioritize a value system
• Generate alternatives
• Suggest models to analyze alternatives
• Enable a decision
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Needs Analysis: Refining the Primitive Need
• Identified stakeholders– Decision makers, sponsors, operators & developers
• Conducted interviews • Decomposed system into subsystems
– Specified interfaces with other systems as well
• Analyzed functional flow• Specified inputs and outputs
– Not all inputs are controllable – Some by-products are unintended
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Effective Need
Provide a survivable network of tactical assets and collaboration on demand to support mission objectives, ensure mobility and focus operational understanding.
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Top-level goals
Survivable collaborative network,supporting SF missions while ensuring
mobility, focus and operational understanding
Survivability CollaborationMissionEnabling
MobilityFocused
OperationalUnderstanding
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Survivability• Pertains to entire system
– Mission insurability through reduced signature
• Counterdetection of the system – Includes operators, sensors, platforms and
communications
• Equipment reliability through design• Enable improved time on station of forces
– Prolongs time available for target prosecution
• Decrease risk associated with operators directly monitoring targets
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Survivability
Survivability
Reliability Assurability Security
MaximumAvailability
MOE:OperationalAvailability
Ao
MinimalLikelihood
of Compromise
MOE:Proportion ofCompromised
Missions
MaximumStand-off Distance
MaximumInformationAssurance
MOE:Distance from
SF to Red Forces
MOE:Amount of
lost orcorrupted data
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Collaboration
• Operators want near real-time video• Technology enables shared applications
– Make use of “coach’s clicker” capability
• Shared understanding is essence of common operating picture
• Increase in shared activity creates dynamic network loading– Requires adaptive management, increases
overhead
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Mission Enabling
• Enhance surveillance and targeting within bounded area of operations– Not a broad area reconnaissance system – Broad area reconnaissance will require greater
numbers of sensors
• Focus is how to improve SF team performance across these missions– Use of unmanned sensors and network
technology
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Assured Mobility
• Operators extremely averse to any increased burden– Prefer options that reduce rucksack
requirements– Must be of significant improvement to be
added
• Avoid increasing task loads and footprint– Design must not adversely affect mobility– Should SF teams be responsible for sustained
UAV operations?
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Focused Understanding
• Effective need points toward decreasing operational hazards– Blue-on-blue– Minimizing collateral damage– Knowing threat environment
• Drawback of increased information flow and reach-back connectivity– More nodes in the network may increase number of
system failures– Actionable data becomes dilute– Prioritization of important information
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• Value prioritization depends on stakeholder perspective• Operators emphasize survivability and mobility
• Decision makers prioritize SF personnel on survivability, but also focus on mission (lethality) and collaboration
• Engineers value use of technology for mission and operational understanding
Surveillance and Targeting Acquisition Network
Survivability Collaboration Mission Enabling Mobility Focus OperationalUnderstanding
Survivable collaborative networkEnsuring mobility&understanding
Weighting Functionality
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Aggregated Futures AnalysisNumber of networked assets
Threat Density
Environment
FEW
MANY
LOW HIGH
DESERT
URBAN In what range of threats, asset availability and tactical environment will STAN operate?
I
II III
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Who controls these?
Reach-back
Tactical Operations Center
Observation Point
Mission Support Site
UAV
Ground Sensors
Can everythingbe accomplishedremotely?
Where doesdata fusion occur?
DesignAlternatives
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Who controls these?
Where doesdata fusion occur?
Can everythingbe accomplishedremotely?
Alternatives
1. Human-Sensor System
2. Unattended-Remote System
3. Hybrid
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Design Alternatives
Role/Responsibility Operators MSS TOC
Situate
Observe
Control
Decide
SupportFun
ctio
ns
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Design AlternativesHuman-Sensor System
Role/Responsibility Operators MSS TOC
Situate
Observe
Control
Decide
SupportFun
ctio
ns
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Design AlternativesUnattended/Remote System
Role/Responsibility Operators MSS TOC
Situate
Observe
Control
Decide
Support
Fun
ctio
ns
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Design AlternativesHybrid System
Role/Responsibility Operators MSS TOC
Situate
Observe
Control
Fuse
SupportFun
ctio
ns
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Testing Alternatives
• Alternative technologies and operational designs undergoing research at NPS– Modeling, analysis and experimentation in place
• Trade-offs evident between network and sensor management– Competing goals for optimal topology
• Scenarios will vary from sparse terrain to urban setting and maritime environment
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Bottom Line
• SF-UAV-Sensor-Network operation forms a complex system of systems
• SEDP process helped define effective need from disparate, important operational desires
• Project demanded program engineering, process orientation and discovery
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Conduct An Armed Reconnaissance to Apprehend Al Qaeda Commander
Assets
- Special Forces A Teams
- 240 Afghan Military Forces
- JSTARS, P-3, A-10s, F16s, Predator
Possible suspect locations
- Encampment
- Among civilians
Example OperationSpring 2002
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Reach-back Observation Point
Mission Support SiteUAV
Sensors
TacticalOperationsCenter
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Who controls these?
Reach-back
Tactical Operations Center
Observation Point
Mission Support Site
UAV
Ground Sensors
Can everythingbe accomplishedremotely?
Where doesdata fusion occur?
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Stakeholder Analysis
• Decision makers– Principal Investigator, USASOC, NAVAIR
• Operators– SF ODA, SEAL Team, UV controllers
• Engineers– Display, network, air control
• Industry– SNC, AKSI, AOS, Inter4, et al.
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Interviews
• SE – SF roundtable discussion– Operators know what they want and are used to
making the best of what they’re issued (TTP)
• Regular discussions among NPS UAV working group
• Interactions during series of experiments
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Subsystem Decomposition
• Operator (human)• Sensors• Platforms
– Manned and unmanned– Ground and airborne
• Network• Interfaces
– Hypothesis is whether the network enhances mission effectiveness – experimentation will tell
– Operators cue sensors and sensors cue operators, too
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Surveillance and Targeting
• Sensors arrive in area of operations– Optimal location, positioning is not a given
• Assets conduct area search, detection• When necessary, assets require control
– Advisory, supervisory and positive
• Supporting a sensor grid requires effort• Information display, interpretation and
decision requires attention and focus
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Functional Flow
SITUATE
OBSERVE CONTROL
DECIDE
SUPPORT
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Inputs, Outputs & By-Products
• Controllable inputs– Forces, network participants, protocols
• Uncontrollable inputs– Target and non-target activity, network topology
• Outputs– Detection, identifying and targeting information
• By-products– Own-force signature (RF, audible) & footprint
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UAV
SensorsObservation Point
Mission Support Site
TacticalOperationsCenter
Reach-back