在移动空间光通信中, 激光光斑中心的快速捕获至关重要, 传统灰度重心算法很难满足高速移动空间光通信的捕获要求。针对传统灰度重心算法提出了一种优化方案, 在计算光斑中心前加入了滤波去噪、自适应二值化阈值处理, 可有效提高系统抗干扰特性; 经过粗识别光斑中心位置, 选框重心计算, 提高了检测光斑中心的速度和精确度。实验证明: 所提改进算法与传统灰度重心算法在测量精度和运算速度上进行对比, 改进算法的运算速度比传统灰度重心算法提高了一个数量级, 同时抗干扰能力更强。

In the mobile space optical communication, the fast capture of laser spot center is very important, but it is difficult to satisfy the requirement by using the traditional grayscale gravity center algorithm.In this paper, an optimization scheme is proposed.Filtering de-noising and adaptive binaryzation threshold processing are added before calculating the spot center, which can effectively improve the anti-interference performance of the system.The speed and accuracy of spot center detection are improved by coarse identification of spot center and gravity center calculation.Experiments show that, compared with the traditional grayscale gravity center algorithm, the improved scheme proposed here increases the measurement accuracy and operation speed by an order of magnitude, and has stronger anti-interference ability.