Biography: Jian Li received the M.Sc. and Ph.D. degrees in electrical engineering from The Ohio State University, Columbus, in 1987 and 1991, respectively. She is currently a Professor in the Department of Electrical and Computer Engineering, University of Florida, Gainesville. Her current research interests include spectral estimation, statistical and array signal processing, and their applications to radar, sonar, and biomedical engineering. Dr. Li's publications include Robust Adaptive Beamforming (2005, Wiley), Spectral Analysis: the Missing Data Case (2005, Morgan & Claypool), MIMO Radar Signal Processing (2009, Wiley), and Waveform Design for Active Sensing Systems -- A computational approach (2011, Cambridge University Press).

Dr. Li is a Fellow of IEEE and a Fellow of IET. She received the 1994 National Science Foundation Young Investigator Award and the 1996 Office of Naval Research Young Investigator Award. She was an Executive Committee Member of the 2002 International Conference on Acoustics, Speech, and Signal Processing, Orlando, Florida, May 2002. She was an Associate Editor of the IEEE Transactions on Signal Processing from 1999 to 2005, an Associate Editor of the IEEE Signal Processing Magazine from 2003 to 2005, and a member of the Editorial Board of Signal Processing, a publication of the European Association for Signal Processing (EURASIP), from 2005 to 2007. She was a member of the Editorial Board of the IEEE Signal Processing Magazine from 2010 to 2012. She is currently a member of the Sensor Array and Multichannel Technical Committee of the IEEE Signal Processing Society. She is a co-author of the paper that has received the M. Barry Carlton Award for the best paper published in IEEE Transactions on Aerospace and Electronic Systems in 2005. She is also a co-author of a paper published in IEEE Transactions on Signal processing that has received the Best Paper Award in 2013 from the IEEE Signal Processing Society.

Title: MIMO Radar and Probing Waveform Synthesis

Abstract: Unlike a standard phased-array radar, MIMO radar can transmit via its antennas multiple probing signals that may be correlated or uncorrelated with each other. We provide herein an overview of some recent results on MIMO radar with colocated antennas, showing that this waveform diversity enables the MIMO radar superiority in several fundamental aspects. Moreover, probing waveform synthesis for MIMO radar is also discussed. We will provide a review of recent novel, cyclic approaches to single and multiple probing waveform designs. Both aperiodic and periodic correlations will be considered. We show that by making use of fast Fourier transforms (FFTs), we can now efficiently design sequences that were previously impossible to synthesize. Furthermore, we will present the computationally efficient SHAPE algorithm for shaping the spectrum of probing sequences to accommodate spectrum sharing.