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

EjectionE

nd Gam

e

Drift

Parachutes

Ascen

t

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 traces / activations

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, 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)