Simulation and data management for cosite interference prediction

Abstract

The accurate prediction of cosite electromagnetic interference (EMI) in complex radio frequency (RF) environments is often limited by the nature of the data available to describe the systems involved. Analysts attempting to predict cosite EMI are often faced with not only performing accurate simulations that yield useful results when using mixed data types, but also with managing a large amount of disparate data types in a way that allows straightforward predictions to be made and, just as importantly, allowing the accuracy of those predictions to be refined as more data becomes available to improve the description of the systems in the cosite scenario. In this paper, we address efficient approaches for both aspects of the cosite prediction challenge: simulation and data management.