RESUMO
Atmospheric scintillation studies have been traditionally undertaken utilizing nonimaging detection. When imaging devices are used, they typically detect the resultant signal at the receiver plane. Here, a high-speed camera has been utilized in atmospheric scintillation field trials, imaging a laser source (i.e., imaging the object plane) over a near ground path length of 1.5 km. The statistical nature of the acquired atmospheric scintillation data is characterized using a range of probability density functions. The exponentiated Weibull function was found to best describe the nature of scintillation over the broadest range of a scintillation index typical of atmospheric scintillation. A preliminary investigation into the relationship between the fit variables of three of the better-performing probability density functions and the scintillation index is presented, along with suggestions for future use of digital cameras in atmospheric scintillation studies.
RESUMO
A large number of model probability density functions (PDFs) are used to analyze atmospheric scintillation statistics. We have analyzed scintillation data from two different experimental setups covering a range of scintillation strengths to determine which candidate model PDFs best describe the experimental data. The PDFs were fitted to the experimental data using the method of least squares. The root-mean-squared fitting error was used to monitor the goodness of fit. The results of the fitting were found to depend strongly on the scintillation strength. We find that the log normally modulated Rician and the log normal PDFs are the best fit to the experimental data over the range of scintillation strengths encountered.
