多孔径自由空间光系统中到达角、指向误差、接收端抖动和湍流的无学习分层联合估计

中文摘要 AI 辅助

本文提出了一种无学习的分层估计器，用于在多孔径自由空间光系统中联合恢复到达角（AoA）、发射端指向误差、接收端引起的抖动以及每个孔径的湍流系数。所提出的方法利用了四象限光电探测器测量中包含的不同空间特征。首先，归一化的象限不平衡比率提供了近似闭式到达角估计。接下来，将到达角补偿后的透镜功率转换为对数线性回归模型，用于非迭代的指向误差估计。最后，在补偿估计的角度损失后，直接重建接收端抖动和湍流系数。该方法既不需要神经网络训练，也不需要穷举多维搜索，其计算复杂度与透镜数量成线性关系。蒙特卡洛结果表明，在Gamma-Gamma湍流下到达角估计具有鲁棒性，揭示了基于OLS的指向和抖动估计中湍流引起的误差下限，并展示了更大阵列和显式指向补偿对湍流重建的改进。

英文摘要

This paper proposes a learning free hierarchical estimator for jointly recovering the angle of arrival (AoA), transmitter pointing error, receiver induced jitter, and per aperture turbulence coefficients in a multi aperture free space optical system. The proposed method exploits the distinct spatial signatures contained in quad photodetector measurements. First, normalized quadrant imbalance ratios provide an approximate closed form AoA estimate. Next, AoA compensated lens powers are transformed into a log linear regression model for non iterative pointing error estimation. Finally, receiver jitter and turbulence coefficients are directly reconstructed after compensating for the estimated angular losses. The method requires neither neural network training nor exhaustive multidimensional search and has computational complexity linear in the number of lenses. Monte Carlo results demonstrate robust AoA estimation under Gamma Gamma turbulence, reveal turbulence induced error floors in OLS based pointing and jitter estimation, and show improved turbulence reconstruction with larger arrays and explicit pointing compensation.

发表机构

• Hamad Bin Khalifa University（哈马德·本·哈利法大学）
• Professionals for Smart Technology（智能技术专业人士）
• Qatar University（卡塔尔大学）

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