DE Effects Committee Brief HPM M

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DE Effects Committee BriefHPM MS Subcommittee
02 November 2009

• Dr. Timothy J. Clarke
• AFRL/RDH
• Directed Energy Directorate
• Air Force Research Laboratory

Dr. J. Mark DelGrande SAIC
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Summary

• Role of MS
• Sample of Codes
• Present Activities
• Shortfalls

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The HPM MS Pyramid

• Simulates HPM system against one or more target
  systems (devices or networks of devices)
• Bridges Physics Mission Levels
• Physics study detailed problems (e.g., sources
  antenna physics)
• Mission flight packages (e.g., effectiveness and
  survivability against targets with air defenses)

• Supports the following RD functions
• Predicting HPM system lethality against
  electronic devices and systems of devices
• Performing tradeoffs to optimize HPM effects
• Sensitivity studies to determine key parts of
  problem, and areas where experiments can provide
  the most insight

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HPM Physics Level Codes
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Higher Level HPM Codes
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Institute for High Power Microwave (HPM)
Employment, Integration, Optimization, and Effects
Building and populating a framework to propagate
accurate and traceable information from
engineering level models to mission and campaign
level models to allow for faster acquisition of
HPM systems that solve mission needs
(Whole Target)
Pk MODELS
Abstracted Models
(Target Components)
Highly integrated end-to-end HPM system model
Pe MODELS
Fault Trees Advanced network models
Engineering Level Models
PROPAGATION MODELS
Empirical Pe models Predictive models
State of the art optimization, design of
experiments, and uncertainty quantification will
be available at all levels to allow for rapid
analysis of alternatives
Platform EMI/EMC
HPM SOURCE
T Max Finite Difference Time Domain RF-PROTEC -
Exterior Interior ray-tracing CREATE-RF-high
fidelity propagation models
In-situ performance prediction CREATE-RF-high
fidelity propagation models
Detail plasma and material modeling
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MS Shortfalls

• Propagation Models
• Capability to quickly calculate fields inside of
  complex structures, such as anechoic chambers,
  where multiple bounces occur.
• Engagement Models
• Data to support engagement scenarios/validation
• Time-Out-of-Action particularly data to support
  models
• Improved methods to assess/develop TTPs via MS

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MS Shortfalls

• Effects Models
• Physics-based HPM effects prediction capability
• e.g., Elemental Modeling
• Data to support effects models that account for
  degradation
• e.g., Network traffic reduction
• Other MS Tools
• Predictive tools to assist testers in scoping HPM
  effects parameter space, pre-test.
• A maintained database to collect and share the
  HPM data supporting MS

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Summary

• We view our scope as effects-related MS,
  specifically for counter-electronics
  applications, and not including ADS (human
  effects)
• We identified several near term and far term
  issues
• Near term
• Time Out of Action data to support models
• Predictive effects modeling
• Methodology for VV of effects models (probably
  falls within VV subcommittee, but important
  enough to call out here)
• Ensuring that effects testing produces
  appropriate data to feed engagement MS
• Far term
• MS support for BDA
• Wideband and low-frequency propagation models for
  engagement MS