Changes of polarization state in aerosol scattering processes are sensitive to various microphysical properties of particles, such as size distribution and complex refractive index. In this work, we present a method to estimate the complex refractive indices (ACRI) and particle size distribution (PSD) of aerosols based on the measured polarization scattering signals using our multi-angle Stokes vector analysis system of individual particles. Then we use the probability density function (PDF) of aerosols to weight the Stokes vector and compare it with Mie scattering theory to iteratively retrieve the optimal ACRI and PSD. The experimental results of six kinds of aerosol samples support the validity and feasibility of our method, implying the important potential of polarization scattering information extraction applied in dynamic monitoring, quantitative retrieval and fine identification of aerosols.

气溶胶散射过程中偏振态的变化对颗粒的各种微物理特性很敏感，例如尺寸分布和复折射率。在这项工作中，我们提出了一种方法，使用我们的单个颗粒的多角度斯托克斯矢量分析系统，根据测量的偏振散射信号来估计气溶胶的复折射率 (ACRI) 和粒度分布 (PSD)。然后我们使用气溶胶的概率密度函数 (PDF) 对 Stokes 矢量进行加权，并将其与 Mie 散射理论进行比较，以迭代检索最佳 ACRI 和 PSD。六种气溶胶样品的实验结果支持了我们方法的有效性和可行性，暗示了偏振散射信息提取在动态监测中的重要潜力，