Moon-Based Synthetic Aperture Radar: A Signal Processing Prospect

Author:   Zhen Xu ,  Kun-Shan Chen (Chinese Academy of Sciences, Beijing, China)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032311715


Pages:   340
Publication Date:   26 December 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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Moon-Based Synthetic Aperture Radar: A Signal Processing Prospect


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Full Product Details

Author:   Zhen Xu ,  Kun-Shan Chen (Chinese Academy of Sciences, Beijing, China)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781032311715


ISBN 10:   1032311711
Pages:   340
Publication Date:   26 December 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1. Background. 2. Moon-Based Earth Observation Geometry. 3. Generic Parameters in the MBSAR System. 4. Spatiotemporal Coverage in the MBSAR System. 5. Signal Model of the MBSAR System. 6. Signal Processing and Image Focusing. 7. Orbital Perturbation Effects in the MBSAR. 8. Ionospheric Effects on the L-Band MBSAR Imaging.

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Author Information

Zhen Xu joined the Department of Electronic and Information Engineering at Shantou University in 2020. He earned a PhD in cartography and geographic information system at the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, and the University of Chinese Academy of Sciences in 2020. His research interests include the system design and signal processing of Moon-based SAR. He was awarded the Outstanding Talent of Shantou University and the High-Level Talent of Shantou City. Dr. Xu also received Young Scientist Awards from the International Conference on Space, Aeronautical, and Navigational Electronics (ICSANE) in 2018 and the General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS) in 2023. Kun-Shan Chen is a nationally distinguished professor at Nanjing University in China. He earned a PhD in electrical engineering at the University of Texas at Arlington in 1990. His research interests include microwave remote sensing theory, modeling, systems, measurement, intelligent signal processing, and data analytics for radar. He has authored and co-authored over 500 refereed journals and conference papers. He is the author of several books published by CRC Press. His academic activities are numerous, spanning 30 years. Dr. Chen, an IEEE Fellow, received the 2021 IEEE GRSS Fawwaz Ulaby Distinguished Achievement Award for his contributions to microwave scattering and emission modeling of rough surface and radar image simulation and understanding.

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