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Spectrum Sharing Between Radars and Communication Systems: A MATLAB Based Approach de Awais Khawar

Spectrum Sharing Between Radars and Communication Systems: A MATLAB Based Approach: SpringerBriefs in Electrical and Computer Engineering

Autor Awais Khawar, Ahmed Abdelhadi, T. Charles Clancy
en Limba Engleză Paperback – 26 iun 2017
This book presents spectrum sharing efforts between cellular systems and radars. The book addresses coexistence algorithms for radar and communication systems. Topics include radar and cellular system models; spectrum sharing with small radar systems; spectrum sharing with large radar systems; radar spectrum sharing with coordinated multipoint systems (CoMP); and spectrum sharing with overlapped MIMO radars. The primary audience is the radar and wireless communication community, specifically people in industry, academia, and research whose focus is on spectrum sharing. The topics are of interest for both communication and signal processing technical groups. In addition, students can use MATLAB code to enhance their learning experience.
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Specificații

ISBN-13: 9783319566832
ISBN-10: 3319566830
Pagini: 102
Ilustrații: XV, 102 p. 24 illus., 22 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.18 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Electrical and Computer Engineering

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- A Projection Based Approach to Spectrum Sharing.- Coloacted MIMO Radar and CoMP Cellular System.- Overlapped-MIMO Radar and MIMO Cellular System.

Notă biografică

Dr. Awais Khawar is a Senior Engineer at Federated Wireless. He received his B.S. in telecommunication engineering from the National University of Computer and Emerging Sciences, Peshawar, Pakistan (2007), M.S. in electrical engineering from the University of Maryland at College Park (2010), and Ph.D. in electrical engineering from Virginia Tech (2015). At the University of Maryland his research focused on the security aspect of spectrum sensing in cognitive radio networks. His work on spectrum sensing security has featured in the IEEE COMSOC Best Readings in Cognitive Radio. At Virginia Tech his research focused on spectrum sharing, security, optimization, and resource allocation for coexisting wireless communication and radar systems. Dr. Khawar has co-authored more than 20 peer-reviewed technical publications. He is also co-author of the book MIMO Radar Waveform Design for Spectrum Sharing with Cellular Systems (Springer, 2016).
  Dr. Ahmed Abdelhadi is a Research Assistant Professor at Virginia Tech. He received his Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin in December 2011. He was a member of Wireless Networking and Communications Group (WNCG) during his Ph.D. In 2012, he joined Bradley Department of Electrical and Computer Engineering and Hume Center for National Security and Technology at Virginia Tech. His research interests are in the areas of resource allocation optimization, radar and wireless systems, and security. Dr. Abdelhadi has coauthored more than 50 journal and conference papers and 5 books in these research topics.
 Dr. T. Charles Clancy is an Associate Professor of Electrical and Computer Engineering at Virginia Tech and directs of the Hume Center for National Security and Technology. Prior to joining Virginia Tech in 2010, he served as a senior researcher at the Laboratory for Telecommunications Sciences, a defense research lab at the University of Maryland, where he led research programs in software-defined and cognitive radio. Dr. Clancy received his B.S. in Computer Engineering from the Rose-Hulman Institute of Technology, M.S. in Electrical Engineering from the University of Illinois, and his Ph.D. in Computer Science from the University of Maryland. He is a Senior Member of the IEEE and has over 150 peer-reviewed technical publications. His current research interests include cognitive communications and spectrum security.

Caracteristici

Provides a thorough analysis of current and future areas of research on spectrum sharing Presents a unified treatment of spectrum sharing that is easily accessible to both the radar and wireless communication signal processing communities Features a MATLAB-based approach to allow readers to learn, experiment, compare, and build on top of existing algorithms Includes supplementary material: sn.pub/extras