Fast and accurate simulation of imaging through atmospheric turbulence is
essential for developing turbulence mitigation algorithms. Recognizing the
limitations of previous approaches, we introduce a new concept known as the
phase-to-space (P2S) transform to significantly speed up the simulation. P2S is
build upon three ideas: (1) reformulating the spatially varying convolution as
a set of invariant convolutions with basis functions, (2) learning the basis
function via the known turbulence statistics models, (3) implementing the P2S
transform via a light-weight network that directly convert the phase
representation to spatial representation. The new simulator offers 300x --
1000x speed up compared to the mainstream split-step simulators while
preserving the essential turbulence statistics.

本文提出了一种基于 phase-to-space transform 的新模拟方法，该模拟方法通过不变卷积和基函数学习，结合轻量化网络直接将相位转化为空间形式，以实现有效的大气湍流成像模拟，相对主流分裂步进模拟器，该模拟器可获得 300 倍至 1000 倍的速度提升，并保持了必要的湍流统计分析。