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Engagement Resolution via GeoPairing: An Identification and Analysis of Potential Error Sources

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Particularly Non-Line-of-Sight (NLOS) and Beyond-Line-of-Sight (BLOS) ... Force-on-Force (FOF) and Force-on-Target (FOT) training exercises. Brigade level and below ... – PowerPoint PPT presentation

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Title: Engagement Resolution via GeoPairing: An Identification and Analysis of Potential Error Sources


1
Engagement Resolution via Geo-Pairing An
Identification and Analysis of Potential Error
Sources
  • Lou Ford
  • Icon Systems, Inc.
  • Bradley C. Schricker
  • ATT Government Solutions, Inc.

2
Presentation Outline
  • Introduction of the Problem
  • One Tactical Engagement Simulation System
    (OneTESS)
  • Geo-Pairing
  • Error Sources
  • Conclusion
  • Questions

3
Introduction
  • More sophisticated training
  • Handling entity engagements
  • Particularly Non-Line-of-Sight (NLOS) and
    Beyond-Line-of-Sight (BLOS)
  • One solution is Geometric Pairing (Geo-Pairing)

4
OneTESS
  • Armys vision for next generation TES
  • History of combat training extends back millennia
  • MILES came about in 1970s
  • OneTESS expected to augment and eventually
    replace MILES systems

5
OneTESS, cont
  • Issues with MILES
  • Lasers cannot represent indirect fire, or
    NLOS/BLOS engagements without additional support
    (such as what is provided by Simulated Area
    Weapon Effects Radio Frequency (SAWE-RF)
  • Opaque and translucent obscurants that do not
    stop bullets, such as foliage and fog, can block
    laser beams
  • The systems are nearing the end of their useful
    economic life, particularly with regards to
    logistics support issues, such as part
    replacement

6
OneTESS, cont
  • OneTESS will support
  • Force-on-Force (FOF) and Force-on-Target (FOT)
    training exercises
  • Brigade level and below
  • All Battlefield Operating Systems at Homestation,
    maneuver Combat Training Centers, and deployed
    sites

7
Geo-Pairing
  • MILES pairs the shooter with the target by using
    a laser beam
  • Geo-Pairing pairs the shooter with the target
    with calculations based upon information about
    the shooter and the target

8
Geo-Pairing, cont
  • Geo-pairing algorithm must know
  • Location of shooter
  • Location of target
  • Time of trigger-pull
  • Characteristics of weapon and ammunition
  • Orientation vector of weapon

9
Geo-Pairing, cont
  • Geo-Pairing Issues
  • Timekeeping
  • Engagement geometry
  • Accuracy of shooter and target positions
  • Accuracy of terrain
  • Accuracy of Earth model
  • Acceptable accuracy of engagement resolution

10
Error Sources
  • Digitized Terrain Errors
  • Position Sensing Errors
  • Orientation Errors
  • Initial Velocity Errors
  • Earth Model Errors
  • Algorithmic Errors

11
Error Sources, Terrain
  • Digitized Terrain Errors
  • Geo-pairing requires digitized terrain
  • Terrain models figure into the calculation of
    impact point of projectiles
  • This data affects the calculated range of a shot
  • Erroneous hits or misses can occur

12
Error Sources, Position
  • Position Sensing Errors
  • Position of entities will be determined by GPS
  • Tested systems have 2m accuracy in a flat plane
  • This also could result in false hits or misses

13
Error Sources, False Hit
  • False Hit

14
Error Sources, False Miss
  • False Miss

15
Error Sources, Orientation
  • Orientation Errors
  • OneTESS will use magnetometers, inertial
    measurements units (IMUs), inclinometers, and
    potentially GPS interferometry to measure weapon
    orientation
  • Each of these instruments carries with it a small
    margin of error
  • These errors can result in improper ranges and
    firing vectors

16
Error Sources, Orientation
  • Example of azimuth

17
Error Sources, Orientation
  • Example of elevation

18
Error Sources, Init. Velocity
  • Initial Velocity Error
  • Affects range of weapon projectile
  • Too great of an initial velocity will result in
    too great a range
  • Too small of an initial velocity results in the
    opposite

19
Error Sources, Init. Velocity
  • Initial Velocity Error

20
Error Sources, Earth Model
  • Earth Model Errors
  • Flat earth vs. geodetic earth
  • Primarily important for BLOS engagements
  • Earth representation can affect the range of a
    weapon

21
Error Sources, Earth Model
  • Earth modeling example

22
Error Sources, Algorithms
  • Algorithmic Errors
  • Neglecting of gravity and drag in calculations
  • Currently, two sources of ballistic algorithms
  • Time of flight and range differ significantly
    depending on algorithm used

23
Error Sources, Algorithms
Time of flight, 76 m/s exit V, Cd 0.06
Range, 76 m/s exit V, Cd 0.06
24
Conclusion
  • Six potential error sources examined today
  • Not exhaustive, but most prominent
  • Technologies that reduce component errors
  • Greater DTED level
  • Use as much computing power that is practically
    available
  • Augment with known data from weapon systems

25
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