Simulation Study of a Probabilistic Measurement Terminator for Cloud Radar Systems using Cloudsat Data
National Aeronautics and Space Administration, Grant 80NSSC17K0246
Abstract
This paper presents a novel probabilistic method that is used to identify low-SNR measurements in a cloud profiling radar application and terminate them before completion to save resources. The method uses a statistical model to predict the final SNR level of a measurement in progress and terminate it if it falls below a specified threshold at a specified level of confidence. The method is applied in a simulation study in which radar backscattered power profiles are obtained from CloudSat radar data, and is shown to achieve favorable performance.
