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Über dieses Buch

This book comprehensively describes high-resolution microwave imaging and super-resolution information processing technologies and discusses new theories, methods and achievements in the high-resolution microwave imaging fields. Its chapters, which include abundant research results and examples, systematically summarize the authors’ main research findings in recent years.

The book is intended for researchers, engineers and postgraduates in the fields of electronics systems, signal information processing and data analysis, microwave remote sensing and microwave imaging radar, as well as space technology, especially in the microwave remote sensing and airborne or space-borne microwave imaging radar fields.

Inhaltsverzeichnis

Chapter 1. Introduction

Abstract
High-resolution microwave imaging radar technology is one of the key issues in the high-resolution earth observation technology.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 2. The Basis of Microwave Imaging Radar

Abstract
Synthetic aperture radar (SAR) obtains the two-dimensional high-resolution image by means of pulse compression technology in range dimension and synthetic aperture processing in azimuth dimension.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Abstract
Radar resolution is the ability of a radar system to distinguish between two and more adjacent targets in a multi-target environment, which can be described by one of the target’s position parameters (range, azimuth, and elevation) or motion parameters (velocity and acceleration) to distinguish target.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 4. Linear Frequency Modulation Pulse Signal

Abstract
Linear Frequency Modulation (LFM) pulse signal (chirp) is a widely used pulse compression signal, which obtains large time–bandwidth products by inner-pulse linear frequency modulation.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 5. Stepped-Frequency Waveform and SAR Imaging

Abstract
Modern radar is developing towards high sensitivity, strong anti-interference ability, high flexible and good altitude performance, and the high range resolution is one of the key technologies.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 6. Stepped-Chirp Burst Waveform and SAR Imaging

Abstract
The stepped-frequency signal is a kind of flexible high-range resolution waveform, it is sensitive to the radial velocity, and the couple between range and Doppler is very complicated. The target energy is distributed to the adjacent range cells, which results in the degradation of the range resolution and the loss of SNR.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 7. Spotlight SAR Technology

Abstract
Spotlight model is a specialties operating model of Synthetic Aperture Radar (SAR). It is an effective means of achieving high azimuth resolution.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 8. Spotlight SAR Imaging Algorithms

Abstract
Imaging processing is the prominent technical characteristics and core content of synthetic aperture radar. Since 1970s, during more than 30 years’ development a number of imaging algorithms for Spotlight synthetic aperture radar have emerged in succession. For example: Polar format algorithm (PFA), the range migration algorithms (RMA), Chirp Scaling algorithm (CSA), extended CSA algorithm (ECSA), frequency Scaling algorithm (FSA), the two-step algorithm (TSP) and so on. This chapter covers detailed theory, signal modeling and computational processes of various algorithms, as well as special problems of imaging algorithms.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 9. Sliding Spotlight Synthetic Aperture Radar

Abstract
Sliding Spotlight synthetic aperture radar is an operating mode between Strip synthetic aperture radar and spotlight synthetic aperture radar.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 10. Single Phase Center Multi-beam SAR

Abstract
One of the fundamental limitations in the design of space borne SAR systems is the contradiction between the swath and azimuth resolution of the survey. This contradiction arises from their differing demands on the system pulse repetition frequency (PRF).
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 11. Multi-phase Centers Multi-beam SAR

Abstract
As mentioned in the previous chapter, in order to obtain a wide swath and high azimuth resolution at the same time, it is possible to reduce the system pulse repetition frequency (PRF) and use multiple beams in the azimuth dimension to receive echoes. Using signal processing to increase Doppler bandwidth and make the azimuth resolution improved.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 12. Multiple-Input Multiple-Output SAR

Abstract
For the conventional SAR, the swath width and azimuth resolution are contradictions because of the limitations of minimum antenna area, so they cannot be improved simultaneously.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 13. Autofocus Algorithm for SAR

Abstract
Autofocus algorithm is one of the key technologies for high-resolution SAR signal processing. High-resolution SAR is a coherent imaging system.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 14. Foundation of Super-Resolution Microwave Imaging

Abstract
Super-resolution imaging algorithms use high-resolution spectrum estimation method, effective spectrum extrapolation method, adaptive weighted method, or inverse problem-solving method to process microwave imaging radar data. These kinds of algorithms can break through the performance limitations of Fourier imaging method to improve image resolution further without increasing the signal bandwidth and the length of the synthetic aperture.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 15. SAR Super-Resolution Imaging Method Based on Spectral Estimation

Abstract
Super-resolution information processing technology of synthetic aperture radar uses super-resolution imaging algorithms, namely the use of high-resolution spectral estimation methods to alternate Fourier spectrum estimation method, the extrapolation of efficient signal spectrum or the adaptive weighting methods.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 16. SAR Super-Resolution Methods Based on Spectral Bandwidth Extrapolation and Adaptive Side Lobe Reduction

Abstract
Spectral bandwidth extrapolation refers to the data of known band-limited signal in a certain bandwidth range can be improved the resolution through a priori knowledge of the signal to seek outside the bandwidth of the data.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang

Chapter 17. Super-Resolution Imaging Method Based on Regularization and Deconvolution

Abstract
The process of radar-radiating electromagnetic waves and receiving the backscatter echo signal can be expressed in the form of matrix operations. The backscattering RCS of the remote sensing region can be estimated by matrix inversion method.
Ruliang Yang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, Xueyan Kang
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