Wei Su and John Kosinski, US Army Communication Electronics RD&E Center
Date: October 1, 2008 (Wednesday)
Time: 4:45pm (refreshment at 4:30pm)
Location: ECEC 202, NJIT

About the Presenter:

Dr. Wei Su received the B.S degree in electrical engineering and the M.S degree in systems engineering from Shanghai Jiao Tong University, China, in 1983 and 1987, respectively. He received his Ph.D. degree in electrical engineering from The City University of New York, New York, in 1992. Currently, he is a senior engineer in U.S. Army Communication Electronics Research Development and Engineering Center in Fort Monmouth, New Jersey. His research interests include wireless communication, signal and image processing, and adaptive control with over 160 patents and papers. Dr. Su has been a recipient of numerous prestigious awards for technical achievements including the 3rd highest honor in the U.S. Army – Superior Civilian Service Award and Medal, 2007 and 2004 AOC International Research and Development Awards, 2007 IEEE Region I Award, 2005 Army Research and Development Achievement Award, Army Material Command Top 10 Employee Nomination, and 2002 Thomas Alva Edison Patent Award.

About the Talk:

Signal classification is an important subject for military radio communications. With the revolution of digitizing communications ever closer to the antenna, cognitive radios with programmable modulation schemes and transmission rates have become a practical wireless communication platform. Signal classification techniques have attracted much attention recently by the commercial applications in developing the next generation receivers with automatic modulation scheme recognition and selection. However, the technical expectations and goals in commercial cognitive radios are quite different with that in military surveillance systems. A key research area is to develop new algorithms with the real-time adaptive demodulation capability. An overview of automatic signal classification techniques and the challenges in migrating current modulation recognition methods into the cognitive radios will be discussed.

For more information contact: Yun Shi shi@njit.edu (973)-596-3501, Alfredo Tan tan@fdu.edu (201) 692-2347, and Hong Man hman@stevens-tech.edu (201)-216-5038.

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Note: All MS thesis and PhD dissertation (proposal) defense are counted towards ECE791.