Bistatic SAR clutter suppression : theory, method, and experiment / Zhongyu Li, Junjie Wu, Jianyu Yang, Zhutian Liu.
2022
TK6592.S95
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Title
Bistatic SAR clutter suppression : theory, method, and experiment / Zhongyu Li, Junjie Wu, Jianyu Yang, Zhutian Liu.
Author
ISBN
9789811901591 (electronic bk.)
9811901597 (electronic bk.)
9789811901584 (print)
9811901589
9811901597 (electronic bk.)
9789811901584 (print)
9811901589
Published
Singapore : Springer, 2022.
Language
English
Description
1 online resource (x, 131 pages) : illustrations (some color)
Item Number
10.1007/978-981-19-0159-1 doi
Call Number
TK6592.S95
Dewey Decimal Classification
621.3848/5
Summary
This book reports the latest results in the study of clutter suppression and signal processing techniques and focuses on the analysis of non-stationary characteristics of bistatic SAR clutter, DPCA-based clutter suppression method, optimization-based clutter suppression method, sparse recovery-based clutter suppression method, experimental verification and many other aspects, i.e., including the research results of realization technology and experimental verification. Bistatic SAR clutter suppression is the prerequisite and key technique for realizing the detection of moving targets on the ground/sea surface. It is also the frontier and difficult issue of international research in the field of radar. Researchers, engineers and graduate students in radar signal processing can benefit from this book, who wish to learn the core theories, methods and applications of bistatic SAR technologies.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 8, 2022).
Available in Other Form
Print version: 9789811901584
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Table of Contents
1. Introduction
2. Basic Theory for Clutter Suppression
3. Signal Model of Bistatc SAR Clutter
4. DPCA-Based Clutter Suppression Method
5. Optimization-Based Clutter Suppression Method
6. Sparse-Recovery-Based Clutter Suppression Method
7. Experiment Technique Existing Challenges and Future Work.
2. Basic Theory for Clutter Suppression
3. Signal Model of Bistatc SAR Clutter
4. DPCA-Based Clutter Suppression Method
5. Optimization-Based Clutter Suppression Method
6. Sparse-Recovery-Based Clutter Suppression Method
7. Experiment Technique Existing Challenges and Future Work.