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Networking Sensors for Information Dominance - Joint Signal Processing and Communication Design
Final rept. 1 Aug 2009-31 Dec 2012
LEHIGH UNIV BETHLEHEM PA DEPT OF COMPUTER AND ELECTRICAL ENGINEERING
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Recent advances in sensor technology have created great interest in building networked sensor systems for both civilian and military applications employing low-cost, low-power, multi-functional sensor nodes which carry their own power sources. Our results show the significant potential of joint optimization of distributed sensor processing and networking for Air Force applications. In particular, we focus on target detection and estimation applications requiring energy efficiency, like MIMO radar systems with unmanned vehicle sensor nodes, which are of great interest to the Department of Defense and in particular to the Air Force, but our research will also benefit nonmilitary applications and provide improvements beyond energy efficiency. This research has produced several important research contributions to the communications, signal processing and data fusion communities. It was shown that if the sensors know that their data is to be used to solve a specific target detection and estimation problem, they are able to determine what data is necessary to accurately solve these problems and which data which is already well described by previously observed data. Thus joint design can enable a new generation of technologies for solving important real-world problems related to large-scale networks of monitoring sensors spread over large regions.
APPROVED FOR PUBLIC RELEASE