Bistatic SAR Clutter Suppression: Theory, Method, and Experiment

✍ Scribed by Zhongyu Li, Junjie Wu, Jianyu Yang, Zhutian Liu

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 137
• Edition: 1st ed. 2022
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Preface
Acknowledgements
Contents
1 Introduction
1.1 Bistatic SAR Technologies
1.2 Clutter Suppression Methods
1.2.1 Single-channel Methods
1.2.2 Multi-channel Methods
1.3 SAR Moving Target Detection Systems
1.3.1 American Airborne MTD Radar System
1.3.2 German Airborne/Spaceborne MTD Radar System
1.3.3 Chinese Airborne BiSAR-MTD Radar System
1.4 Structure of This Book
2 Basic Theory for Clutter Suppression
2.1 DPCA Processing Fundamentals
2.2 Space–Time Processing Fundamentals
2.3 Main Issues in Bistatic SAR Clutter Suppression
2.3.1 Problems of DPCA in Bistatic Mode
2.3.2 Problems of Traditional STAP in Bistatic Mode
2.4 Summary
3 Bistatic SAR Signal Model
3.1 BiSAR Signal Model in Time-Domain
3.1.1 Time-Domain Signal Model
3.1.2 RCM Characteristic
3.1.3 Doppler Characteristic
3.2 BiSAR Clutter Model in Space–Time Domain
3.2.1 Geometrical Modelling for BiSAR
3.2.2 Space–Time Clutter Modelling for BiSAR
3.3 BiSAR Clutter Characteristic Analysis
3.4 Summary
4 DPCA-Based Clutter Suppression Method
4.1 Multi-pulse DPCA Clutter Suppression Method
4.1.1 Range Cell Migration Correction
4.1.2 Space–Time Spectrum Extension Elimination
4.1.3 Multi-pulse Two-Channel Clutter Cancellation
4.1.4 Simulated Analysis
4.2 Image-Domain DPCA Clutter Suppression Method
4.2.1 RD-Based DPCA Method
4.2.2 BP-Based DPCA Method
4.3 Summary
5 Optimization-Based Clutter Suppression Method
5.1 Space–Time Filter Design and Optimally Modelling
5.2 Optimal Solution of Space–Time Filter Weight
5.3 BiSAR Clutter Suppression via Space–Time Filtering
5.4 Method Validation and Performance Analysis
5.4.1 Example of the Matched Space–Time Filter Design
5.4.2 Example of Non-stationary BiSAR Clutter Suppression
5.5 Summary
6 Spare-Recovery-Based Clutter Suppression Method
6.1 The Principle of SR-STAP
6.2 Off-Grid Problem in SR-STAP for BiSAR
6.3 CRM Dictionary Reconstruction via Adaptive Gradient Method
6.4 The Process of the Proposed Method
6.4.1 Range Cell Migration Correction
6.4.2 BiSAR Non-stationary Clutter Suppression
6.5 Performance Analysis
6.5.1 Clutter Spectrum Recovery Analysis
6.5.2 Simulation Results of BiSAR Clutter Suppression
6.6 Summary
7 Experimental Technique
7.1 Experimental System
7.2 Experimental Scheme
7.2.1 Flight Path
7.2.2 Movement Routes of Moving Targets
7.2.3 Experiment Situation
7.3 Processing Results with Proposed Methods
7.3.1 Processing by Optimization-Based Method
7.3.2 Processing by SR-Based Method
7.4 Summary
References