Abstract

Environmental Awareness for Sensor and Emitter Employment (EASEE) ArcMap Add-In
Track: Defense and Intelligence
Authors: Jay Johnson, Keith Wilson, Kenneth Yamamoto

Environmental Awareness for Sensor and Emitter Employment (EASEE) is an object-oriented software framework that abstracts common characteristics of battlefield problems involving multimodal signal transmission and sensing into reusable units of software code in the Java programming language. It efficiently integrates diverse signal-generation, propagation, and processing models and flexibly supports weather and terrain inputs of varying specifications and fidelity. All stages in the modeling process, from signal generation to processing, are described probabilistically to reflect inherent uncertainties from random signal-generation and propagation mechanisms. Sensors may be ground-based or airborne and may detect acoustic, seismic, optical, infrared (IR), radio frequency (RF), or magnetic signals. Signal emissions may originate from ground vehicles, aircraft, humans, or electronic equipment. Realistic modeling and simulation of factors that influence sensing and signal emission can enable effective mission planning, improve virtual prototyping of sensor systems and signal processing algorithms, and support force-on-force simulations and doctrinal development.