Abstract : In this talk a new technique for multiple-input multiple-output (MIMO) radar with collocated antennas which we call phased-MIMO radar will be explained. The new technique enjoys the advantages of MIMO radar without sacrificing the main advantage of phased-array radar which is the coherent processing gain at the transmitting side. The essence of the proposed technique is to partition the transmitting array into a number of subarrays that are allowed to overlap. Then, each subarray is used to coherently transmit a waveform which is orthogonal to the waveforms transmitted by other subarrays. Coherent processing gain can be achieved by designing a weight vector for each subarray to form a beam towards a certain direction in space. Moreover, the subarrays are combined jointly to form a MIMO radar resulting in higher resolution capabilities. The substantial improvements offered by the proposed phased-MIMO radar technique as compared to previous techniques are demonstrated analytically and by simulations through analysis of the corresponding beam patterns and achievable output signal-to-noise-plus-interference ratios.

Biography : Sergiy A. Vorobyov received the M.S. and Ph.D. degrees from Kharkiv National University, Ukraine, in 1994 and 1997, respectively. Since 2006, he has been with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada. Since 2006 he has been an Assistant Professor with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada. Since his graduation, he also held various research and faculty positions in Kharkiv National University of Radioelectronics, Ukraine; the Institute of Physical and Chemical Research (RIKEN), Japan; McMaster University, Canada; Duisburg-Essen University and Darmstadt University of Technology, Germany; and the Joint Research Institute, Heriot-Watt University and Edinburgh University, U.K. His research interests include statistical and array signal processing, applications of linear algebra and optimization methods in signal processing and communications, estimation and detection theory, sampling theory, and cooperative and cognitive systems. Dr. Vorobyov is a recipient of the 2004 IEEE Signal Processing Society Best Paper Award, the 2007 Alberta Ingenuity New Faculty Award, and other research awards. He serves as an Associate Editor for the IEEE TRANS. SIGNAL PROCESSING and the IEEE SIGNAL PROCESSING LETTERS. He is a member of the Sensor Array and Multi-Channel Signal Processing Technical Committee of the IEEE Signal Processing Society.

Live webcast : http://vbxevents.powerstream.net/003/02484/Vorobyov091211/index.htm