dat/sen may 4, 2006 1 decision support for fighter pilots lars rosenberg randleff ph.d. student...
TRANSCRIPT
1DAT/SENMay 4, 2006
Decision SupportDecision Supportfor Fighter Pilotsfor Fighter Pilots
Lars Rosenberg RandleffLars Rosenberg Randleff
Ph.D. studentPh.D. student
Danish Defence Research Danish Defence Research EstablishmentEstablishment
2DAT/SENMay 4, 2006
Rationale
• Numbers of threats, guidance methods, and countermeasures are increasing• 650 missile systems developed• 200-300 missile systems currently deployed
(http://missile.index.ne.jp)
• Not easy to find the best action• Takes training to do it in time• Solution depends on mission
• “The worlds best pilot as the co-pilot”• A work in progress…
3DAT/SENMay 4, 2006
Challenges
• Lack of information• Both in flight and in development
• Information may be self-contradictory• Onboard systems may be wrong
• Best solution depends on a lot of parameters• Avionics, route, scenario, inventory, …
• Should be found in real-time
4DAT/SENMay 4, 2006
Missile Guidance
Semi-active Radar
Infrared
Electro-Optical
Active Radar
Track-Via-Missile
INS/GPS
Command
Beam Rider
Anti-Radiation
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Scenario
-0.5 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
x 104
0
0.5
1
1.5
2
2.5
3
3.5
4x 10
4
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Parameters
α
ρ
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Lethality
-1 0 1 2 3 4 5
x 104
-0.5
0
0.5
1
1.5
2
2.5
3
3.5
4x 10
4
-1 0 1 2 3 4 5
x 104
-0.5
0
0.5
1
1.5
2
2.5
3
3.5
4x 10
4
0 50 100 150 200 250 300 350 400 450 5000
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
Scenario Lethality
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Countermeasures
• Jammer• Emits RF radiation• Very “loud”, use
only when needed
• Towed Decoy• A towed jammer• Use once only• Limited resource
• Chaff• Forms a cloud with
a RCS comparable to that of the aircraft
• Limited resource
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Reduction of Lethality (α)
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Reduction of Lethality (ρ)
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An Example
• α = 125°ρ = 80%
• R = Rα∙ Rρ
• RJ,α = 0.80RJ,ρ = 0.50RJ = 0.40
• RD,α = 0.75RD,ρ = 0.80RD = 0.45
• RC,α = 0.05RC,ρ = 0.60RC = 0.03
12DAT/SENMay 4, 2006
Highest Reduction
-0.5 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
x 104
0
0.5
1
1.5
2
2.5
3
3.5
4
x 104
None
Jammer
Chaff
Decoy
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Constraints
• The towed decoy can be used a limited number of times (~3)
• Chaff can be dispensed a limited number of times (~30)
• No countermeasure should be chosen, if none is needed
14DAT/SENMay 4, 2006
Building a Mathematical Model
tot
iii
iiii
N
iiitot
LS
RRR
MTRLTPL
1
)),,,(1()(
,,
1
n
ttprod
tt
best
n
ttsum
SS
SS
SS
0
0
}{max
15DAT/SENMay 4, 2006
Decision Schedule
Jammer
Decoy
Chaff
16DAT/SENMay 4, 2006
Concluding Remarks
• Is it better to look ahead? How much?
• Can calculations be done fast enough? What should be the timeframe?
• Does uncertainty make a difference?• Scenario• Reductions
17DAT/SENMay 4, 2006
Credits
• Dr. Fred Wright, GTRI• Problem, concept
• Mr. Steen Søndergard, DDRE• Models, numbers
• Dr. Jesper Larsen, IMM/DTU• Mathematical model
18DAT/SENMay 4, 2006
Questions?