题目： Cyclostationary Analysis of Underwater Acoustic Communication Signals
时间：2014年6月23日下午2：00
地点：玉泉校区行政楼111会议室
报告人：Professor . Zhiqiang Wu Department of Electrical Engineering, Wright State University
Abstract:
Cyclostationary analysis has been established as an important tool in conducting spectrum sensing, signal detection, parameter estimation and modulation detection in radio frequency (RF) applications. However, it is not clear if cyclostationary analysis can be successfully applied to underwater acoustic communication signals, given the extremely complicated multi-path environment of the underwater acoustic channel. In this talk, we discuss various issues of applying cyclostationary analysis methods to real underwater acoustic communication signals obtained from experiments in the sea and provide a suite of algorithms to perform signal detection, parameter estimation and modulation detection. An efficient algorithm is developed to release the computational complexity of the cyclostationary analysis as well.
Biography:
Dr. Zhiqiang Wu received his BS from Beijing University of Posts and Telecommunications in 1993, MS from Peking University in 1996, and PhD from Colorado State University in 2002, all in electrical engineering. He has worked at West Virginia University Institute of Technology as assistant professor from 2003 to 2005. He joined Wright State University in 2005 and currently serves as a full professor. Dr. Wu is the author of national CDMA network management standard of China. He also co-authored one of the first books on multi-carrier transmission for wireless communication. He has published more than 70 papers in journals and conferences. He has served as Chair of Acoustic Communication Interest Group of IEEE Technical Committee on Multimedia Communications. His research has been supported by the National Science Foundation, Air Force Office of Scientific Research, Air Force Research Laboratory, Office of Naval Research, and NASA. His work on software defined radio implementation of cognitive radio won the Best Demo Award at IEEE Globecom 2010.