AI 中文总结
研究多孔径相干FSO接收问题，提出基于异构梯度源的结构化盲合并方法，通过特定梯度更新相位、偏振参数、孔径权重等，能根据分支质量分配权重，改善湍流链路中受多种因素影响的FSO链路。
AI 中文摘要
多孔径相干接收可通过将空间分集转换为相干合并增益来改善自由空间光（FSO）链路。在湍流链路中，孔径分支同时受到相对相位误差、偏振失配和不等信噪比（SNR）的影响。现有方法将相位/偏振对准和分支权重分配视为单独操作，或把所有损伤纳入高维MIMO均衡器，掩盖了每个孔径贡献的物理意义。本文提出基于异构梯度源的结构化盲合并方法：通过使组合输出功率最大化的闭式解析梯度更新相位和每个孔径的偏振参数，同时通过从星座半径误差导出的梯度更新孔径权重和可选的全局偏振角。指数参数化pn = eqn/N确保非负性且无削波。内部变量qn通过半径误差梯度进行适配，从而根据已对准分支的质量分配类似最大比合并的权重。
英文摘要
Multi-aperture coherent reception can improve freespace optical (FSO) links by converting spatial diversity into coherent combining gain. In turbulent links, the aperture branches are simultaneously affected by relative phase errors, polarization mismatch, and unequal signal-to-noise ratios (SNRs). Existing methods treat phase/polarization alignment and branch-weight allocation as separate operations, or absorb all impairments into a high-dimensional MIMO equalizer that obscures the physical meaning of each aperture's contribution. This paper proposes a structured blind combining method based on heterogeneous gradient sources: phase and per-aperture polarization parameters are updated by closed-form analytical gradients that maximize the combined output power, while aperture weights and an optional global polarization angle are updated by gradients derived from the constellation-radius error. An exponential parameterization pn = eqn/N ensures positivity without clipping. The internal variable qn is adapted by radius-error gradients, thereby allocating maximal-ratio-combining-like weights according to the quality of the already aligned branches.
