Distributed and Layered Sensing: Relevant EMC Issues

• Published in: 2007 IEEE International Symposium on Electromagnetic Compatibility pp. 1 - 7
• Main Authors: Wicks, M.C., Moore, W.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-07-2007
• Subjects: Change detection algorithms; Costs; Electromagnetic compatibility; Intelligent sensors; Intelligent vehicles; Manufacturing; Radar detection; Sensor systems; Surveillance; Vehicle dynamics
• ISBN: 1424413494; 9781424413492
• ISSN: 2158-110X; 2158-1118
• DOI: 10.1109/ISEMC.2007.42

One can easily envision future military operations and emerging civilian requirements (e.g. intelligent unmanned vehicles for urban warfare, intelligent manufacturing plants) that will be both complex and stressing and will demand innovative sensors and sensor configurations. The goal of our research into distributed and layered sensing is to develop a cost effective and extendable approach for providing surveillance for a variety of applications in dynamically changing military and civilian environments. Within distributed and layered sensing, we foresee a new sensor archetype. In this paradigm, sensors and algorithms will be autonomously altered depending on the environment. Radars will use the same returns to perform detection and discrimination, to adjust the platform flight path and change mission priorities. The sensors will dynamically and automatically change waveform parameters to accomplish these goals. Disparate sensors will communicate and share data and instructions in real-time. Intelligent sensor systems will operate within and between sensor platforms such that the integration of multiple sensor data provides information needed to achieve dynamic goals and avoid electromagnetic fratricide. Intelligent sensor platforms working in partnership will increase information flow, minimize ambiguities, and dynamically change multiple sensors' operations based upon a changing environment. Concomitant with the current emphasis on more flexible defense structures, distributed and layered sensing will allow the appropriate incremental application of remote sensing assets by matching resources to the situation at hand.