2005
DOI: 10.1117/12.603384
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Methodology for comparing worldwide performance of diverse weight-constrained high energy laser systems

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Cited by 27 publications
(18 citation statements)
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“…These tools include the following MatLab toolboxes: Scaling for High Energy Laser and Relay Engagement (SHaRE) 1 , Scaling Code for Airborne Laser Engagement (SCALE) 2 and its underlying toolboxes: ATMTools 3 , EngagementTools, SimTools, and the High Energy Laser End to End Operational Simulation (HELEEOS) 4 . Realistic and accurate prediction of irradiance delivered to the target is the critical initial step in the Scenario Simulation chain and is provided in the current study by SCALE.…”
Section: Simulation Model Descriptionmentioning
confidence: 99%
“…These tools include the following MatLab toolboxes: Scaling for High Energy Laser and Relay Engagement (SHaRE) 1 , Scaling Code for Airborne Laser Engagement (SCALE) 2 and its underlying toolboxes: ATMTools 3 , EngagementTools, SimTools, and the High Energy Laser End to End Operational Simulation (HELEEOS) 4 . Realistic and accurate prediction of irradiance delivered to the target is the critical initial step in the Scenario Simulation chain and is provided in the current study by SCALE.…”
Section: Simulation Model Descriptionmentioning
confidence: 99%
“…One of these codes, the High Energy Laser End-to-End Operational Simulation (HELEEOS) 1 , is perhaps the first DEW simulation package to fully incorporate a correlated, probabilistic climatological database. The infusion of such realistic atmospheric effects into the simulations allows HELEEOS to better assess variability/uncertainty in DEW system performance arising from spatial, spectral and temporal variations in operating conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Its basic features have been previously described [1]. A key component of HELEEOS is a worldwide probabilistic model of spatial and temporal variations in atmospheric characteristics which has been described in detail [2,3,4].…”
Section: Heleeos Worldwide Seasonal Diurnal Atmospheric Modelmentioning
confidence: 99%