Software for multimodal battlefield signal modeling and optimal sensor placement

Kenneth K. Yamamoto; Sergey N. Vecherin; D. Keith Wilson; Christian T. Borden; Elizabeth Bettencourt; Chris L. Pettit

doi:10.1117/12.919452

4 May 2012 Software for multimodal battlefield signal modeling and optimal sensor placement

Kenneth K. Yamamoto, Sergey N. Vecherin, D. Keith Wilson, Christian T. Borden, Elizabeth Bettencourt, Chris L. Pettit

Proceedings Volume 8403, Modeling and Simulation for Defense Systems and Applications VII; 840307 (2012) https://doi.org/10.1117/12.919452
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Effective use of passive and active sensors for surveillance, security, and intelligence must consider terrain and atmospheric effects on the sensor performance. Several years ago, U.S. Army ERDC undertook development of software for modeling environmental effects on target signatures, signal propagation, and battlefield sensors for many signal modalities (e.g., optical, acoustic, seismic, magnetic, radio-frequency, chemical, biological, and nuclear). Since its inception, the software, called Environmental Awareness for Sensor and Emitter Employment (EASEE), has matured and evolved significantly for simulating a broad spectrum of signal-transmission and sensing scenarios. The underlying software design involves a flexible, object-oriented approach to the various stages of signal modeling from emission through processing into inferences. A sensor placement algorithm has also been built in for optimizing sensor selections and placements based on specification of sensor supply limitations, coverage priorities, and wireless sensor communication requirements. Some recent and ongoing enhancements are described, including modeling of active sensing scenarios and signal reflections, directivity of signal emissions and sensors, improved handling of signal feature dependencies, extensions to realistically model additional signal modalities such as infrared and RF, and XML-based communication with other calculation and display engines.

Citation Download Citation

Kenneth K. Yamamoto, Sergey N. Vecherin, D. Keith Wilson, Christian T. Borden, Elizabeth Bettencourt, and Chris L. Pettit "Software for multimodal battlefield signal modeling and optimal sensor placement", Proc. SPIE 8403, Modeling and Simulation for Defense Systems and Applications VII, 840307 (4 May 2012); https://doi.org/10.1117/12.919452

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