Real-time controller based on multi-visual-line related Shack-Hartmann wavefront sensor

Abstract

The invention discloses a real-time controller based on a multi-visual-line related Shack-Hartmann wavefront sensor, particularly relates to a multichannel parallel processing hardware platform architecture which is put forward aiming at the multi-conjugate adaptive optical technique, and is used for detection and reconstruction of wavefront slope in multiple visual line directions within the range of a large field of view. The controller adopts a FPGA and multi-core DSP architecture, and mainly comprises a slope calculation part and a wavefront reconstruction part; as a plurality of subregions need to be divided in each subaperture of the multi-visual-line related Shack-Hartmann wavefront sensor, the platform needs subchannels to be constructed in large channels for slope extraction. The real-time controller is suitable for selecting any amount of subregions from the subaperture of the multi-visual-line related Shack-Hartmann wavefront sensor, therefore the purpose of system upgrading can be achieved by performing repeated structural treatment on the subchannels in the FPGA on the basis of not changing the hardware circuit; besides, the real-time controller has important significance on engineering realization of the multi-conjugate adaptive optical technique.

Description

technical field [0001] The invention belongs to the technical field of adaptive optics, in particular to a real-time controller based on multi-line-of-sight correlation Shaker-Hartmann wavefront sensors. Background technique [0002] Affected by atmospheric anisotropy, traditional adaptive optics (AO) has only a small corrected field of view, which severely limits the application of adaptive optics technology. Multilayer Conjugate Adaptive Optics (MCAO), through the layered correction of atmospheric turbulence, thus breaking through the correction field of view limitation of traditional adaptive optics, can improve the resolution of the system in a large field of view, and can be used in solar observation, etc. There are important applications in fields that require high-resolution imaging with a large field of view. [0003] Compared with traditional AO, MCAO usually uses multi-line-of-sight correlated Shack-Hartmann wavefront sensors to detect three-dimensional wavefronts...

AI Technical Summary

Problems solved by technology

[0006] Domestically, the traditional AO real-time controller researched by the Institute of Optoelectronic Technology of the Chinese Academy of Sciences adopts the processing architecture of FPGA and DSP, which has good parallel processing capability and scalability, and can achieve processing above 2000Hz under the traditional AO framework. However, in the MCAO system, due to the larger field of view and more selected sub-areas, the traditional AO controller cannot be directly upgraded, and must be improved and optimized to meet the requirements

Images