Biograph: Guolong Cui (M’12–SM’17) received the B.S., M.S., and Ph.D. degrees from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2005, 2008, and 2012, respectively. From January 2011 to April 2011, he was a Visiting Researcher with the University of Naples Federico II, Naples, Italy. From June 2012 to August 2013, he was a Postdoctoral Researcher with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA. From September 2013 to July 2018, he was an Associate Professor with the UESTC, where he has been a Professor since August 2018. His current research interests include cognitive radar, array signal processing, MIMO radar. He is currently the Associate Editors for the IEEE Access and Signal Image and Video Processing.

Title: Wideband MIMO Radar Waveform Design

Abstract: This talk considers the design of wideband multiple-input multiple-output (MIMO) radar waveforms to approximate a desired beampattern and achieve prescribed space-frequency nulling in a space-frequency region of interest. A general design model involving modulus, power, and energy constraints on the probing waveforms is introduced. To deal with the resulting non-convex design, a novel iterative algorithm with low computational complexity is proposed. In each iteration, the non-convex design is approximated successively through a series of convex subproblems. Then, each convex subproblem is reformulated in a new alternating direction method of multipliers form, with small-sized subproblems solved in parallel with closed-form solutions via utilizing the Karush–Kuhn–Tucker conditions. Numerical results are provided to demonstrate the effectiveness.