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天光背景及系统自身探测器件所引入的噪声对自适应光学系统的探测精度具有较大的影响,为消除这两方面噪声的影响,设计并实现了基于FPGA的波前光斑信号提取系统。该系统通过3个算法模块完成噪声的滤除,中值滤波模块用于去除杂散噪声,Top-hat变换模块用于滤除较为平稳的背景噪声,自适应阈值分割模块用于去除残余噪声。基于FPGA平台进行了系统的实现,在室内的自适应光学精跟踪系统平台上对光斑信号的提取效果及提取前后的精度进行了实验测试,结果表明,该处理平台能较好地提取出目标光斑,处理后的质心精度也较高,且该处理平台的延时较小,能够满足自适应光学系统实时性的要求。
The sky background and the noise introduced by the system’s own detection device have a great influence on the detection accuracy of the adaptive optics system. To eliminate the influence of these two aspects of noise, a wavefront signal extraction system based on FPGA is designed and realized. The system performs noise filtering by three algorithm modules, median filter module for removing spurious noise, Top-hat transform module for filtering out smoother background noise, and adaptive threshold segmentation module for removing residual noise. The implementation of the system based on the FPGA platform was carried out. The experimental results of the spot signal extraction and the accuracy before and after extraction were tested on the indoor platform of the adaptive optical precision tracking system. The results show that the processing platform can extract the target spot , The centroid accuracy after treatment is also higher, and the processing platform has a smaller delay and can meet the requirement of the real-time adaptive optical system.