Wavefront Sensing for High Scintillation Environments

In this proposal we consider the incorporation of image processing techniques intophase reconstruction algorithms to improve performance in systems such as theAirBorne Laser (ABL) tactical missile defense system. Based on a combinationof mathematical techniques for nonparametric branch cut identification andadaptive filtering theory, our methods promise to provide greatly enhancedphase estimation. Scintillation, the turbulence-induced fluctuation of imageintensities, is widely regarded as a major problem for adaptive optics systems.The methods we propose herein provide the potential to mitigate significantlythe effects of scintillation, thus enhancing adaptive optics performance. Wealso propose innovative control concepts for deformable mirror actuation.Collaborating with scientists and engineers at UCLA, MZA, AFRL, and Boeing-SVS,we will use wave propagation simulations data and data collected in tests atLincoln Laboratory's ACL facility to score the performance of these algorithms.Continuing our partnership with Boeing-SVS, the leader in systems engineering foroptical systems for ABL and other weapon systems, will allow us to leverage theresults obtained in this effort into hardware systems in a most efficient andcost-effective manner.Potential commercial applications will be of a military nature, as the effortproposed herein is heavily focused toward advancing ABL system capabilities.Other phase-based imaging systems, such as SAR and MRI, will benefit, however,from improvements derived from this research.