Authors:
- Nominated as an outstanding PhD thesis by the Institute of Electronics, Chinese Academy of Sciences (CAS)
- Proposes new effective algorithms and a whole moving target processing scheme that are highly robust and suitable for real synthetic aperture radar (SAR) data processing
- Keeps the sharpening ratio constant without increasing the complexity of either the system or the processing
- Broadens the ground moving target indicator (GMTI) capabilities of frequency modulated continuous wave synthetic aperture radar (FMCW SAR) systems
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (6 chapters)
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Front Matter
About this book
Based on a detailed analysis of the signal model of the moving target, this thesis focuses on the theories and applications of ground moving target indicator (GMTI) and ground moving target imaging (GMTIm) algorithms in synthetic aperture radar/ ground moving target indicator (SAR/GMTI mode), wide-area surveillance ground moving target indication (WAS-GMTI) mode and frequency modulated continuous wave synthetic aperture radar (FMCW SAR) systems. The proposed algorithms can not only indicate and image fast-moving targets, but are also effective in the context of slow-moving target processing. The system design scheme combines the mechanical scanning mode and the airborne SAR system, while the azimuth moving target indication algorithm employs the additional range walk migration induced by FMCW SAR systems. In addition, the non-ideal errors that deteriorate the performance of GMTIm algorithms in real SAR data processing are discussed, and suitable compensation methods are provided.>
Authors and Affiliations
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China Academy of Launch Vehicle Technology, Beijing, China
Jian Yang
Bibliographic Information
Book Title: Study on Ground Moving Target Indication and Imaging Technique of Airborne SAR
Authors: Jian Yang
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-981-10-3075-8
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2017
Hardcover ISBN: 978-981-10-3074-1Published: 17 January 2017
Softcover ISBN: 978-981-10-9782-9Published: 14 July 2018
eBook ISBN: 978-981-10-3075-8Published: 09 January 2017
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XX, 109
Number of Illustrations: 30 b/w illustrations, 27 illustrations in colour
Topics: Signal, Image and Speech Processing, Remote Sensing/Photogrammetry, Microwaves, RF and Optical Engineering, Electronics and Microelectronics, Instrumentation