Title :
Comparison of branch point tolerant wavefront reconstructors in the presence of simulated noise effects
Author :
Steinbock, Michael J. ; Schmidt, Jason D. ; Hyde, Milo W.
Author_Institution :
Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
Abstract :
Branch points arise in optical transmissions due to strong atmospheric turbulence, long propagation paths, or a combination of both. Unfortunately, these conditions are very often present in desired operational scenarios for laser weapon systems, optical communication, and covert imaging, which suffer greatly when traditional adaptive optics systems either cannot sense branch points or implement non-optimal methods for sensing and correcting branch points. In this research we create a MATLAB simulation of the real-time AO system at the Air Force Institute of Technology. Utilizing a self-referencing interferometer as the high-order wavefront sensor - this type of sensor being theoretically immune to scintillation - this effort has extended previous theoretical work by adding realistic noise effects to the SRI´s measurements before reconstructing the wavefronts and applying the control law. Previous research by Pellizzari presents a thorough analysis of various novel branch point tolerant reconstructors in the absence of noise. This study provides a foundation to guide hardware implementation in the future, where noise effects will be present.
Keywords :
adaptive optics; light interferometers; mathematics computing; optical variables measurement; wavefront sensors; MATLAB simulation; SRI measurements; adaptive optics systems; atmospheric turbulence; branch point tolerant wavefront reconstructors; control law; covert imaging; guide hardware implementation; high-order wavefront sensor; laser weapon systems; nonoptimal methods; optical communication; optical transmissions; propagation paths; real-time AO system; scintillation; self-referencing interferometer; simulated noise effects; Adaptive optics; Computational modeling; Couplings; Delta modulation; Image reconstruction; Noise; Pistons;
Conference_Titel :
Aerospace Conference, 2012 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4577-0556-4
DOI :
10.1109/AERO.2012.6187160