Empiric Bayesian Inversion of Evaporation Ducts From Synthetic Phased-Array Data

Abstract

We perform inversions of low-altitude refractivity from phased-array observations of the electromagnetic (EM) field using empiric sampling. Populations of samples are used to represent the probability of observation for a given environmental state, with all states equally likely. A single phased-array observation is assumed. The posterior probability of an environmental state is based on the number of its members within the neighborhood of the observation relative to the total overall states that occur within the neighborhood. The results show the dependence of the posterior probability densities on both the environmental state itself and the state of sensing as signal-to-noise ratio.