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UAV’s: Scenarios Smart bombs  no need to return to base Reconnaissance/surveillance  types of sensors used, mission specifics (e.g. round trip, refuel.

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Presentation on theme: "UAV’s: Scenarios Smart bombs  no need to return to base Reconnaissance/surveillance  types of sensors used, mission specifics (e.g. round trip, refuel."— Presentation transcript:

1 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

2 Deployment Stage Scenario Ejection End Game Drift Parachutes Ascent 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

3 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

4 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

5 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)


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