2013
DOI: 10.1117/1.oe.52.7.071418
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Efficacy of predictive wavefront control for compensating aero-optical aberrations

Abstract: Imaging and laser beam propagation from airborne platforms are degraded by dynamic aberrations due to air flow around the aircraft, aero-mechanical distortions and jitter, and free atmospheric turbulence. For certain applications, like dim-object imaging, free-space optical communications, and laser weapons, adaptive optics (AO) is necessary to compensate for the aberrations in real time. Aero-optical flow is a particularly interesting source of aberrations whose flowing structures can be exploited by adaptive… Show more

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Cited by 19 publications
(11 citation statements)
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“…This latency problem has previously been addressed using various prediction methods such as dynamic mode decomposition 19 , receding-horizon adaptive control 20 , and simple "frozen-flow" advection prediction 21 . We recently developed a method 7 for overcoming this latency problem using a predictive neural network controller in conjunction with a conventional feedback loop as shown in Figure 6.…”
Section: American Institute Of Aeronautics and Astronauticsmentioning
confidence: 99%
“…This latency problem has previously been addressed using various prediction methods such as dynamic mode decomposition 19 , receding-horizon adaptive control 20 , and simple "frozen-flow" advection prediction 21 . We recently developed a method 7 for overcoming this latency problem using a predictive neural network controller in conjunction with a conventional feedback loop as shown in Figure 6.…”
Section: American Institute Of Aeronautics and Astronauticsmentioning
confidence: 99%
“…Several methods have been suggested to take advantage of temporal coherence, [13][14][15] including frozen flow characteristics, for improved wave-front control in AO systems. Here, the FFM allows us essentially to know the atmospheric aberration just outside the beacon light cone even when we cannot directly see it.…”
Section: Resultsmentioning
confidence: 99%
“…Faghihi et al 16 have developed a state-space model and filter for the prediction of POD mode coefficients that could also be used in a predictive controller. Goorskey et al 17 have proposed a promising controller based on the Dynamic Mode Decomposition of Schmid 18 that is capable of compensating for one timestep of delay. Their algorithm was demonstrated to show a significant improvement (approximately 25% on average, and in many cases more) in controller performance.…”
Section: Figure 3: Effect Of Wavefront Mitigation On Strehl Ratiomentioning
confidence: 99%
“…A potentially more robust approach is to reduce the dimensionality of the problem using modal decomposition 21 . Additionally, Goorksey et al 17 have used Dynamic Mode Decomposition 18 to estimate a low-rank approximation of A to improve real-time feasibility.…”
Section: Theoretical Backgroundmentioning
confidence: 99%