General software for multimodal signal modeling and optimal sensor placement: Environmental Awareness for Sensor and Emitter Employment (EASEE)

The Environmental Awareness for Sensor and Emitter Employment (EASEE) software is designed to help in surveillance planning by predicting detection performance of sensors and optimizing sensor selection and placement for intrusion detection around any controlled area, including power plants, dams, borders, prisons, military bases, combat outposts, etc. By its flexible, object-oriented software architecture, EASEE can simulate the performance of a wide variety of sensor modalities-including optical, acoustic, seismic, magnetic, radio-frequency, chemical, and biological-in the realistic terrain and weather conditions of the surveillance environment. EASEE characterizes complex terrain and weather effects on target signatures, signal propagation, and sensor systems, using an expansive library of realistic physics models. Statistical methodologies are also used to account for uncertainties from random signal-generation and propagation mechanisms. A built-in sensor placement algorithm optimizes sensor selections and placements based on sensor supply limitations, coverage priorities, overlapping sensor coverage preferences, and wireless sensor communication requirements.