Adaptive optic system with stochastic parallel analog optimization based on ground-to-air carbon-dioxide laser communication system

摘要

Wave-front distortion compensation using system performance metric optimization applied to ground-to-air carbon-dioxide laser communication system is explored theoretically and experimentally. A performance criterion for parallel perturbation-based algorithms is introduced and applied to optimize adaptive system architecture. We present numerical simulation results for an adaptive imaging system based on the stochastic parallel perturbation technique, along with 37 control channels. An adaptive system with a self-organized control channel hierarchy is introduced and analyzed. Results demonstrate that adaptive wave front correction by the parallel perturbation technique can significantly improve imaging quality.