Data Enrichment and Enhancement in Support of Interoperability Between Combat and Intelligence Simul

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Data Enrichment and Enhancement in Support of
Interoperability Between Combat and Intelligence
Simulations
www.titan.com

• Lou Ford Roger Smith
• Titan Systems Corporation
• Orlando, Florida

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IEWTPT
Combat Training Centers
Vehicle Data
WARSIM
Target Detections
Operator Actions, Sensor Steering
Ground Vehicle Data, Radar Emissions Radio
Transmissions, SNE Updates Simulation Management
Operator Cmds, Reports for AAR
Intelligence Reports Enhanced Data
Detectable Object Lists, Detected Targets
Aircraft Platforms
Vehicle Data
Homestation Instrumentation Training Systems
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IEWTPT Integrated Mode
Integrated Mode
Guardrail IPF
Guardrail TSA
TCC
WARSIM CBS
Unit Location Status, Commands
RF
Interest Filtering FOM Normalization Disaggregatio
n Target Enhancer Traffic Generation Sensor
Footprint Target Accessibility
PARMS FREQ 1.1G BAND 230MHz PD 12 msec PRF 12
Sensor Control Target Detection Track Data Format
Visual
JCATS NTC
Vehicle Location Status Radio PDUs
TUAV Ground
TUAV TSA
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Legacy CBS-to-HRSS
200 Visible Entities
70,000 Aggregate Units
6,000 Moving Entities
700,000 Disaggregated Entities
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Combat-to-Intelligence Waterfall
Constructive Source Format
Disaggregation

• Aggregate Units
• Few Updates
• Limited Terrain
• Combat Specific

Sensor Check

• Vehicle Positions
• Vehicle State
• Terrain Impacts

Enhancement

• Footprint Overlay
• Frequency Check

Formatting Export

• Visual Detail
• RF Detail
• Command Detail

• TSA Formats
• Waveforms
• Voice

Which Comes First?
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Whats Enhancement?
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Trade-Offs
Sensor Check First
Enhancement First
Avoids enhancing objects the sensor cant detect
Allows more sophisticated detection algorithms

Cant operate on attributes being provided in
enhancement
Detection may depend on enhanced data supplied
from the constructive simulation
-
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Objects and Interactions

• Objects can be enhanced easily, since they have
  state. Their attributes can therefore be updated
  at any time.
• Interactions, lacking state, present a more
  difficult case. Theyre here, then theyre gone.
  What to do?

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Possible Approaches

• Publish a second interaction that is a copy of
  the original with the enhanced parameters added
  in
• Publish a second interaction that references the
  first and adds the enhanced parameters
• Intercept the original interaction and add
  enhanced parameters before publishing

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1. Second Interaction Enhanced

• Advantages
• Simple to implement

• Disadvantages
• Waste of network bandwidth

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1. Second Interaction Enhanced
T1
1
Type, Location, Order
Original Interaction, published at time T1
T2
2
Frequency, Modulation, Text
Type, Location, Order
Enhanced Interaction, published at time T2
Time
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2. Second Augmenting Interaction

• Advantages
• Saves bandwidth over Approach A
• Still easy to implement

• Disadvantages
• Forces all other federates to process the
  reference to previous interactions and behave
  accordingly

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2. Second Augmenting Interaction
T1
1
Type, Location, Order
Original Interaction, published at time T1
T2
2
Frequency, Modulation, Text
Ref 1
Shorter Interaction with Enhanced Data and
Pointer, published at time T2
Time
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3. Intercept Original Interaction

• Advantages
• No burden on other federates (vs. Approach B)
• Saves bandwidth (vs. Approach A)

• Disadvantages
• More difficult to implement
• Publisher of interactions must also be aware of
  which federation to use

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3. Intercept Original Interaction
Never gets published
T1
1
Type, Location, Order
Original Interaction
T2
2
Frequency, Modulation, Text
Type, Location, Order
Enhanced Interaction, published at time T2
Time
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Input Types from the JSIMS Constructive Simulation
MTI/IMINT Enhancer
ELINT Enhancer
COMINT Enhancer
MASINT Enhancer
HUMINT Enhancer
Intel
org.land.equip_group
event.physical.illumination event.jamming
event.message
org.land.equip_group
org.land
Source
Name Symbol Type MIDB Code Kill
Type Location Orientation Speed
Power High Frequency Low Frequency Bandwidth Mode
Orientation
Encryption Line Network Id Line
type Content Protocol Frequency Modulation Power I
nternal Content
Name Symbol Type MIDB Code Kill
Type Location Orientation Speed
Org Name Symbol Code Echelon Type Formation Health
Status Mobility Status Mission
Land DA Data
Headlights Dimensions
Function Pulse Duration Pulse Repetition
Interval On/Off Mapping
Network Path Cochannel Interference Language Messa
ge Text
IR Signature Magnetic Signature Acoustic Signature
Reporting Criteria
Enhanced Data
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Challenges

• Consistency between multiple simulations
  performing data enhancement on a single source
• Explosion of volume of data
• Generating smooth real-time data feeds

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Conclusion

• Enhancement has been a standard interoperability
  technique for at least 10 years
• Standard enhancement does not exist or attract
  serious attention
• Independent enhancement by multiple simulations
  leads to inconsistent distributed simulation
  experiences
• IEWTPT is unifying enhancement for at least 9
  different intelligence simulators