Free Ebook Adaptive Interference Mitigation in GNSS (Navigation: Science and Technology)
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Adaptive Interference Mitigation in GNSS (Navigation: Science and Technology)
Free Ebook Adaptive Interference Mitigation in GNSS (Navigation: Science and Technology)
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From the Back Cover
This book introduces readers to adaptive interference mitigation techniques based on multiple antennas for global navigation satellite systems (GNSS) in the time, domain, spatial and spatial-temporal domains. As the performance of GNSS can easily be impacted by various intentional and unintentional interferences, the book explores in detail various types of interference, including jamming , high dynamic jamming, spoofing, multipath and pulsed interference. It offers a valuable reference work for graduate students and engineers in the field of satellite navigation and signal processing.
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About the Author
Renbiao Wu is the Tianjin Professor and the Director of the Tianjin Key Lab for Advanced Signal Processing at the Civil Aviation University of China. He received his B.Sc. and M.Sc. in Electrical Engineering from the Northwest Polytechnic University in 1988 and 1991 respectively, and his Ph.D. in Electrical Engineering from Xidian University in 1994. He has worked at the Imperial College of London, the University of Florida, and Virginia Tech as a Distinguished Research Scholar, Visiting Professor, and Postdoctoral Fellow for five years. His research interests include adaptive array signal processing and spectral estimation, especially in regards to their applications in GNSS and radar. He has published over 300 peer reviewed papers, and ten plus books and book chapters. He was the recipient of the Chinese National Outstanding Young Investigator Award in 2003.Wenyi Wang is a professor of the Tianjin Key Lab for Advanced Signal Processing at the Civil Aviation University of China. He received his M.Sc. in Electrical Engineering from the Huazhong University of Science and University in 2005, and his Ph.D. in Electrical Engineering from the Institute of Acoustics, Chinese Academy of Sciences, in 2008. His research interests include adaptive array signal processing and spectral estimation regarding their applications to GNSS and ADS-B. He has published over 40 papers, and co-authored one book and three book chapters. Dan Lu is an associate professor of the Tianjin Key Lab for Advanced Signal Processing at the Civil Aviation University of China. She received her B.Sc. from the Heifei University of Technology in 1999, M.Sc. from the Civil Aviation University of China in 2004 and Ph.D. from Xidian University in 2013, all in electrical engineering. Her research interests include adaptive array signal processing and spectral estimation regarding their applications to GNSS. She has published over 30 papers and co-authored 2 books. Lu Wang is a lecturer of the Tianjin Key Lab for Advanced Signal Processing at the Civil Aviation University of China. She received her B.Sc. and M.Sc. from the Civil Aviation University of China in 2007 and 2010, and her specialized master degree in space communication system from ISAE in France in 2011 under the support of the Thales scholarship. Her research interests include adaptive array signal processing and spectral estimation regarding their applications to GNSS. She has published 15 papers and co-authored one book. Qiongqiong Jia is a lecturer of the Tianjin Key Lab for Advanced Signal Processing at the Civil Aviation University of China. She received her B.Sc. and M.Sc. from the Civil Aviation University of China in 2008 and 2011, and her specialized master degree in navigation engineering from ENAC in France in 2015. Her research interests include adaptive array signal processing and spectral estimation regarding their applications to GNSS. She has published 20 papers, and co-authored 3 books and book chapters.
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Product details
Series: Navigation: Science and Technology
Hardcover: 274 pages
Publisher: Springer; 1st ed. 2018 edition (October 18, 2017)
Language: English
ISBN-10: 981105570X
ISBN-13: 978-9811055706
Product Dimensions:
6.1 x 0.7 x 9.2 inches
Shipping Weight: 1.3 pounds (View shipping rates and policies)
Average Customer Review:
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Amazon Best Sellers Rank:
#2,350,100 in Books (See Top 100 in Books)
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