Application of 2D Deconvolution Algorithms to Correct the Chirp-Induced Velocity Bias in Atmospheric Wind-LIDAR Datasets

摘要

In this work we showed that it is possible to correct the chirp-induced bias in atmospheric wind measurements with a two-dimensional deconvolution of the dataset with its measured point spread function (which represents the chirped laser-pulse).