Sunday, June 22, 09:00 AM - Room Finisterre

Tradeoffs in MIMO Radar

Sergiy A. Vorobyov
Aalto University, Espoo, Finland

Marco Lops
University of Cassino, Italy

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Abstract: The tutorial is devoted to the overview and discussion of the tradeoffs in MIMO and phased-array radar. The first part of the tutorial concerns of the configuration with colocated transmit antennas. Then the tradeoff between the waveform diversity and coherent processing is discussed. The second part of this tutorial is aimed at shedding light on some key characteristics of MIMO radars with widely-spaced antennas. After revisiting the different signal models, the basic concepts of optimized MIMO radar detectors will be illustrated, so as to establish the key relationships between the detector performance measures and the transmitted waveforms.

Sergiy A. Vorobyov Sergiy A. Vorobyov received the M.Sc. and Ph.D. degrees in systems and control from Kharkiv National University of Radio Electronics, Ukraine, in 1994 and 1997, respectively. He is a Professor with the Department of Signal Processing and Acoustics, Aalto University, Finland and is currently on leave from the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He has been with the University of Alberta as an Assistant Professor from 2006 to 2010, Associate Professor from 2010 to 2012, and Full Professor since 2012. Since his graduation, he also held various research and faculty positions at Kharkiv National University of Radio Electronics, 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 between Heriot-Watt University and Edinburgh University, U.K. He has also held short-term visiting positions at Technion, Haifa, Israel and Ilmenau University of Technology, Ilmenau, Germany. His research interests include statistical and array signal processing, applications of linear algebra, optimization, and game theory methods in signal processing and communications, estimation, detection and sampling theories, 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, the 2011 Carl Zeiss Award (Germany), the 2012 NSERC Discovery Accelerator Award, and other awards. He served as an Associate Editor for the IEEE TRANSACTIONS ON SIGNAL PROCESSING from 2006 to 2010 and for the IEEE TRANSACTIONS ON SIGNAL PROCESSING LETTERS from 2007 to 2009. He was a member of the Sensor Array and Multi-Channel Signal Processing Committee of the IEEE Signal Processing Society from 2007 to 2012. He is a member of the Signal Processing for Communications and Networking Committee since 2010. He has served as the Track Chair for Asilomar 2011, Pacific Grove, CA, the Technical Co-Chair for IEEE CAMSAP 2011, Puerto Rico, and the Tutorial Chair for ISWCS 2013, Ilmenau, Germany.

Marco Lops Marco Lops received the "Laurea" degree and the Ph.D. degree in Electrical and Computer Engineering from "Federico II" University in Naples, Italy, in 1986 and 1991, respectively. From 1991 to 2000 he was associate professor at "Federico II", while, since 2000, he has been a professor with University of Cassino (Italy). In 2009-2010 he has also been a professor with ENSEEIHT, University of Toulouse (FRANCE), on leave of absence from University of Cassino, where he held visiting positions from 2010 to 2012. He has been a visiting scholar with University of Connecticut, Rice University and Princeton in 1991, 1998, and 2000, respectively. In the fall semester 2008 he was visiting professor with University of Minnesota, while in Spring 2009 he was adjoint professor with Columbia University.
His research interests are in detection and estimation, with emphasis on radar and wireless communications. Marco Lops was an Associate Editor for IEEE Transactions on Information Theory and is an AE for the Journal of Communications and Networks, IEEE Signal Processing Letters, and has been a member of Sensor Array and Multi-Channel Signal Processing Technical Committee of IEEE Signal Processing Society since 2009.

Sunday, June 22, 01:00 PM - Room Finisterre

Cartography for Cognitive Networks

Georgios B. Giannakis
University of Minnesota, USA

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Abstract: Communication networks have evolved from specialized, research and tactical transmission systems to large-scale and highly complex interconnections of intelligent devices, increasingly becoming more commercial, consumer-oriented, and heterogeneous. Propelled by emergent social networking services and high-definition streaming platforms, network traffic has grown explosively thanks to the advances in processing speed and storage capacity of state-of-the-art communication technologies. As ``netizens'' demand seamless networking experience that entails not only higher speeds, but also resilience and robustness to failures and malicious cyber-attacks, ample opportunities for signal processing (SP) research arise. The vision is for ubiquitous smart and cognitive network devices to enable data-driven statistical learning algorithms for distributed, robust, and online network operation and management, adaptable to the dynamically-evolving network landscape with minimal need for human intervention. The present tutorial aims at delineating the analytical background and relevance of SP tools to dynamic network monitoring, introducing the notion of network cartography -- a framework to construct maps of the dynamic network state in an efficient and scalable manner tailored for large-scale cognitive networks.

Georgios B. Giannakis Georgios B. Giannakis (Fellow'97) received his Diploma in EE from the Ntl. Tech. Univ. of Athens, Greece, 1981. From 1982 to 1986 he was with the Univ. of Southern California, where he received his MSc. in EE, 1983, MSc. in Math, 1986, and Ph.D. in EE, 1986. Since 1999 he has been a professor with the Univ. of Minnesota, where he now holds an ADC Chair in Wireless Telecom. in the ECE Dept., and serves as director of the Digital Technology Center.
His general interests span are in communications, networking, and statistical signal processing - subjects on which he has published more than 360 journal papers, 600 conference papers, 20 book chapters, two edited books and two research monographs (h-index 107). Current research focuses on big data analytics, wireless cognitive radios, mobile ad hoc networks, power grid, renewable energy, gene-regulatory, and social networks. He is the (co-) inventor of 21 patents issued, and the (co-) recipient of 8 best paper awards from the IEEE Signal Processing (SP) and Communications Socs. He also received Tech. Achievement Awards from the SP Society (2000), from EURASIP (2005), a Young Faculty Teaching Award, and the G. W. Taylor Award for Distinguished Research from the University of Minnesota. He is a Fellow of EURASIP, and has served the IEEE in a number of posts, including that of a Distinguished Lecturer.



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