Title: Engagement Resolution via GeoPairing: An Identification and Analysis of Potential Error Sources
1Engagement Resolution via Geo-Pairing An
Identification and Analysis of Potential Error
Sources
- Lou Ford
- Icon Systems, Inc.
- Bradley C. Schricker
- ATT Government Solutions, Inc.
2Presentation Outline
- Introduction of the Problem
- One Tactical Engagement Simulation System
(OneTESS) - Geo-Pairing
- Error Sources
- Conclusion
- Questions
3Introduction
- 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)
4OneTESS
- 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
5OneTESS, 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
6OneTESS, 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
7Geo-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
8Geo-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
9Geo-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
10Error Sources
- Digitized Terrain Errors
- Position Sensing Errors
- Orientation Errors
- Initial Velocity Errors
- Earth Model Errors
- Algorithmic Errors
11Error 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
12Error 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
13Error Sources, False Hit
14Error Sources, False Miss
15Error 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
16Error Sources, Orientation
17Error Sources, Orientation
18Error 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
19Error Sources, Init. Velocity
20Error 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
21Error Sources, Earth Model
22Error 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
23Error Sources, Algorithms
Time of flight, 76 m/s exit V, Cd 0.06
Range, 76 m/s exit V, Cd 0.06
24Conclusion
- 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
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