The Gaussian mixture model (GMM) is commonly used to the heavy tail of ground-based augmentation system (GBAS) range error distribution. In practice, over-bounding based on a GMM over-bound ranging errors, but GBAS protection levels (PLs) tend be overestimated. Based idea solution separation and overcoming shortcoming its direct reference GBAS, this paper analyses constraint conditions objectiv...

Many inference problems in environmental DDDAS must contend with high dimensional models and non-Gaussian uncertainties, including but not limited to Data Assimilation, Targeting and Planning. In this this paper, we present the Mixture Ensemble Filter (MEnF) which extends ensemble filtering to non-Gaussian inference using Gaussian mixtures. In contrast to the state of the art, MEnF embodies an ...