Military Operations in Urban Terrain Focus Area Collaborative Team MOUT FACT

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Military Operations in Urban Terrain Focus Area
Collaborative Team (MOUT FACT)
MAJ John B. WillisTRADOC Analysis
CenterMonterey, CAjohn.willis_at_trac.nps.navy.mil
2003 Spring SIWOrlando, Florida1 April 2003
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Agenda

• Mission
• Committee Membership
• Focus Areas
• Results

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(No Transcript)
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Military Operations in Urban Terrain Focus Area
Collaborative Team (MOUT FACT)

• Mission
• Facilitate MOUT modeling and simulation (MS) by
• Identifying critical deficiencies in MOUT MS and
  publishing a research plan
• Soliciting proposals to address these
  deficiencies
• Reviewing and evaluating proposals to identify a
  best slate of proposals
• Monitoring progress of funded projects
• Ensure that proposed research is being done in a
  collaborative, cooperative manner by established
  subject matter experts (SME).
• Supports 3 MS Domains
• Advanced Concepts and Requirements (ACR)
• Research, Development and Acquisition (RDA)
• Training, Exercises and Military Operations (TEMO)

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MOUT FACT Committees
Executive Committee (EXCOM)
Advisory Committee (ADCOM)

• TRAC-Monterey
• MCCDC
• DCSSA
• Natick
• USAIC/DBBL
• USASOC
• CAA
• HQDA G3
• ERDC
• NGIC
• NSC
• AMSAA

• PEO STRI
• AMSO
• TRAC-WSMR
• TPO OneSAF
• JFCOM
• JUO PO
• DUSA (OR)
• USMC TEMO
• LOG FACT
• C4ISR FACT
• EDB IPT (TEC)

• CDA DERA (UK)
• DMSO
• ABCA SWP/ATT
• RAND
• AFRL
• AFAMS
• JPSD/JVB
• ARL
• NVESD
• JWFC

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Focus Areas Identified

• Indirect Fire
• Tactical Communications
• Mobility
• Direct Fire
• Search/Target Acquisition
• Wide Area Surveillance
• Radar
• Signal
• Acoustic
• Behaviors (Friendly, OPFOR, Non-combatants)
• Urban Terrain Representation (EDB IPT)
• C4ISR (C4ISR FACT)
• Logistics (LOG FACT)
• Space (Space FACT)
• Simulation to C4I Interoperability (SIMCI IPT)
• Theater Level (Theater Level FACT)

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Phase I Methodology Overview

• Initial Call for Proposals
• Initial proposal submissions via website
• Individual EXCOM proposal evaluation via website
• Statistical analysis of evaluation data
• EXCOM Meeting
• Presentation of statistical results
• Small group assessment
• Large group assessment
• Down-select of 31 from 91 proposals
• Feedback defined to strengthen selected proposals

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Phase II Methodology Overview

• Proposal re-submissions via website
• Individual EXCOM proposal evaluation via website
• User community review (OneSAF, CombatXXI, IUSS)
• Statistical analysis of evaluation data
• EXCOM Meeting
• Presentation of statistical results
• Large group scenario/strategy discussions
• Work Package Exercise
• Down-select of 20 from 31 proposals for
  recommendation
• AAR and discussion of path forward

Overall, a systematic, objective, and unbiased
procedure
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Proposing Agencies
NIMA
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Final Results FY03
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Recommended Projects FY03 (1 of 2)
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Recommended Projects FY03 (2 of 2)
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Footprint to Pathfinder

• Team TRAC-MTRY, ERDC, TRAC-WSMR, AMSAA
• Modify/expand urban templates
• Develop rubble footprint algorithms for
  debris/crater fields incorporate into SWE API
• Characterize threat overlays define threat
  hierarchy
• Develop urban mobility models for rubble/craters
  expand STNDMobAPI
• Develop dynamic urban terrain network for use by
  movement model
• Develop routing algorithms
• Integrate into COMBATXXI

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Enhancement of Mobility Modeling Suite

• Team ERDC
• Develop computer code for translating urban
  rubble/craters into surface roughness factor and
  discrete obstacle geometry templates
• Modify STNDMobAPI for OOS and COMBATXXI
• Acquire/translate data into NRMM

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Rapid Generation of Synthetic Urban Environments
and Infrastructure

• Team ERDC/TEC, AMSAA, TerraSim
• Deliver JRTC MOUT database (10x10 km) for OOS and
  COMBATXXI
• Acquire GIS data and integrate UTZ
  characterizations
• Implement geospecific building interior
  generation (CAD)

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Modeling Target Acquisition, Tracking and Loss in
MOUT using Graphs

• Team NPS, TRAC-Monterey
• Develop graph models to support OF/FCS sensor
  studies
• Identify graph theoretical approaches
• Coordinate with OOS and COMBATXXI

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AMSAA MOUT RF Propagation Model

• Team AMSAA, EMAG Tech.
• Develop urban propagation model for analysis
  community (path loss measurements at various
  frequencies)
• Develop integrated database generation product
• Provide COMBATXXI with RF propagation tool

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MOUT Search and Discrimination in the IR and
Visible

• Team NVESD
• Identify set of urban target activities
• Collect data for target source characterization
• Identify set of one-/two-handed objects for
  discrimination
• Conduct MOUT experiments in visible, image
  intensifier, MWIR, and LWIR bands
• Survey/evaluate virtual reality MOUT search
  modeling approaches