Design of parallel wave-front restoration algorithm based on FPGA

As the “brain” of the entire adaptive optical (AO) system, the processing ability of the wave-front processor determines the closed-loop control bandwidth and the correction effect of the adaptive optics. Wave-front restoration is the core of wave-front processing, and its operation delay is an important index for measuring the entire wave-front processing capability. In this paper, a high parallelism and extensible wave-front restoration algorithm is designed to upgrade and optimize the original algorithm in combination with the characteristics of the field-programmable gate arrays' high parallelism. Open-loop leveling and closed-loop correction experiments are conducted on 961- and 137-units deformable mirror AO systems. The experimental results demonstrate the feasibility and effectiveness of the proposed algorithm for the wave-front processing of large-scale AO systems.