Estimates of surface terrain electromagnetic properties can be utilized by Computational Electromagnetic Modeling
(CEM) software to predict radio signal propagation loss between a transmitter and receiver. This paper will examine the
variability of the dielectric properties of surface soils as a function of composition, moisture content, and frequency
using a semi-empirical model from literature. Using the CEM software the signal path loss will be calculated and the
effects of the variability in the dielectric constant of soil examined. High resolution remote sensing imagery will be
considered as a data source for soil composition and moisture content information. This topic has implications on using
modeling and simulation to understand and predict the performance of RF ground sensors and systems.
It has been observed that electronic devices emit unintentional electromagnetic energy. These emissions can create a
passive radio frequency signature that can be used to characterize and eventually detect and identify the device. In
support of this concept, the authors have integrated high fidelity models and simulations into a framework used to
perform collection feasibility studies of unintentional electronic emissions in relevant detection scenarios. This paper
will discuss the elements involved in simulating realistic electronic emissions in a complex environment, including near
earth propagation, terrain model effects, and visualization techniques.