UAV’s: Scenarios
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Transcript UAV’s: Scenarios
UAV’s: Scenarios
Smart bombs
no
need to return to base
Reconnaissance/surveillance
types
of sensors used, mission specifics
(e.g. round trip, refuel & return)
Power source
rechargeable
battery (by propulsion)
standalone battery
running off the generator directly
Application
SAR
- resolution, speed of aircraft, type of aircraft, number of aircraft
Cooperating fleet
homogeneous
vs. heterogeneous
Deployment Stage Scenario
Parachutes
Ejection
Ejection: Air carrier charges battery, downloads
software, then launches weapons group near targets at
high speed.
Drift: Radar and acoustic sensors locate potential
targets.
Ascent: Power boost propels the weapon upward to
increase target seek time.
End Game: Individual targets are selected and IR
sensor provides precision guidance.
Endurance 3-7 min
How to get description of
application?
System level description
block
diagram level (UML)
dataflow (UML annotation) / control flow (UML maybe)
Data sets
sensory
UAV specific
smart
bomb - stage scenarios:
GPS / target detection
inflight avoiding obstacles
on target
final steering towards target - propulsion control
communication requirements
Power source
voltage,
traces / activations
power rating
Weight/volume constraints
Appropriate metrics
MIPS per watt
higher
MPW=> can fly faster and survey larger areas
keep algorithm same
Task per watt (or joule over time)
peak
power, current limitations
task completion time
communication power
Computation resources required
parts
cost, system cost
weight
maximum clock rate, memory footprint, secondary storage
busses/wires count/weight
Baseline?
Existing working system in field
extrapolated
missile system from Northrop Grumman
Los Alamos - defining radar system on UAV
Lincoln Lab RASSP-SAR benchmark
Tradeoffs
Communication
vs. computation:
modular simulation environment for modeling communication vs.
computation issues
Sensor power vs. computation or communication power
(clean the noise with computation rather than re-sense)