Research On Light Scattering Of Random Clusters And Propagation, Detection Of Laser In Atmosphere

It is of great significance and application value to study the light-scattering of cluster particles, the atmospheric propagation theory and the target background identification as well as the atmospheric environmental monitoring based on the experiment of laser-based radar data processing.This dissertation is composed of three main parts: 1) light scattering characteristics of cluster particles; 2) the propagation characteristics of laser in the environment filled with fog or soot; 3) the laser radar detection in atmosphere and its data processing analysis. The Generalized Multi-particle Mie theory (GMM) method as well as the equivalent medium approaching method is introduced when studying the scattering characteristics of clusters particles. The diffusion-limited model (DLA) is adopted to establish the model of the scattering properties of soot clusters. The physical characteristics of the fog are also discussed in detail. The transmission properties of laser in the soot and the typical fog are calculated by the Monte Carlo Method based on the radiation transport theory. The propagation characteristics of laser in the low-visibility fog are analyzed with emphasis. The statistical fitting of laser back reflectance is made for near-infrared band and an empirical formula has been created. The change of the relationship between the laser attenuation and soot concentrations within a particular detection range has been given. Combining with an atmospheric Sounding Radar Measurement System, the data processing software interface has been compiled. The Fernald integration method is applied to processing and analyzing the data of atmospheric laser radar.