Inverse synthetic aperture radar imaging with MATLAB algorithms. (2021)

• Record Type: Book
• Further Information: Note: Caner Ozdemir.
• Authors: Özdemir, Caner
• Contents: Preface to the Second Edition Acknowledgments Acronyms 1 Basics of Fourier Analysis 1.1 Forward and Inverse Fourier Transform 1.1.1 Brief History of Fourier Transform 1.1.2 Forward FT Operation 1.1.3 IFT 1.2 FT Rules and Pairs 1.2.1 Linearity 1.2.2 Time Shifting 1.2.3 Frequency Shifting 1.2.4 Scaling 1.2.5 Duality 1.2.6 Time Reversal 1.2.7 Conjugation 1.2.8 Multiplication 1.2.9 Convolution 1.2.10 Modulation 1.2.11 Derivation and Integration 1.2.12 Parseval’s Relationship 1.3 Time-Frequency Representation of a Signal 1.3.1 Signal in the Time Domain 1.3.2 Signal in the Frequency Domain 1.3.3 Signal in the JFT Plane 1.4 Convolution and Multiplication Using FT 1.5 Filtering/Windowing 1.6 Data Sampling 1.7 DFT and FFT 1.7.1 DFT 1.7.2 FFT 1.7.3 Bandwidth and Resolutions 1.8 Aliasing 1.9 Importance of Fourier Transform in Radar Imaging 1.10 Effect of Aliasing in Radar Imaging 1.11 Matlab Codes References 2 Radar Fundamentals 2.1 Electromagnetic (EM) Scattering 2.2 Scattering from PECs 2.3 Radar Cross Section (RCS) 2.3.1 Definition of RCS 2.3.2 RCS of Simple Shaped Objects 2.3.3 RCS of Complex Shaped Objects 2.4 Radar Range Equation 2.4.1 Bistatic Case 2.4.2 Monostatic Case 2.5 Range of Radar Detection 2.5.1 Signal-to-Noise Ratio (SNR) 2.6 Radar Waveforms 2.6.1 CW 2.6.2 FMCW 2.6.3 SFCW 2.6.4 Short Pulse 2.6.5 Chirp (LFM) Pulse 2.7 Pulsed Radar 2.7.1 PRF 2.7.2 Maximum Range and Range Ambiguity 2.7.3 Doppler Frequency 2.8 Matlab Codes References 3 Synthetic Aperture Radar 3.1 SAR Modes 3.2 SAR System Design 3.3 Resolutions in SAR 3.4 SAR Image Formation 3.5 Range Compression 3.5.1 Matched Filter 3.5.2 Ambiguity Function 3.5.2.1 Relation to matched filter 3.5.2.2 Ideal ambiguity function 3.5.2.3 Rectangular-pulse ambiguity function 3.5.2.4 LFM-pulse ambiguity function 3.5.3 Pulse compression 3.5.3.1 Detailed processing of pulse compression 3.5.3.2 Bandwidth, Resolution, and Compression Issues for LFM signal 3.5.3.3 Pulse compression example 3.6 Azimuth Compression 3.6.1 Processing in Azimuth 3.6.2 Azimuth Resolution 3.6.3 Relation to ISAR 3.7 SAR Imaging 3.8 SAR Focusing Algorithms 3.8.1 RDA 3.8.1.1 Range compression in RDA 3.8.1.1.1 Matched filtering 3.8.1.1.2 Received raw SAR data 3.8.1.1.3 Range compression using matched filtering 3.8.1.2 Azimuth Fourier transform 3.8.1.3 Range Cell Migration Correction 3.8.1.4 Azimuth compression 3.8.1.5 Simulated SAR imaging example 3.8.1.6 Drawbacks of RDA 3.8.2 Chirp Scaling Algorithm 3.9.3 The ω-kA 3.9.4 Back Projection Algorithm 3.10 Example of a real SAR imagery 3.11 Problems in SAR Imaging 3.11.1 Range Migration and range walk 3.11.2 Motion Errors 3.11.3 Speckle Noise 3.12 Advanced Topics in SAR 3.12.1 SAR Interferometry 3.12.2 SAR Polarimetry 3.13 Matlab Codes References 4 Inverse Synthetic Aperture Radar Imaging and Its Basic Concepts 4.1 SAR versus ISAR 4.2 The Relation of Scattered Field to the Image Function in ISAR 4.3 One-Dimensional (1D) Range Profile 4.4 1D Cross-Range Profile 4.5 Two-Dimensional (2D) ISAR Image Formation (Small Bandwidth, Small Angle) 4.5.1 Resolutions in ISAR 4.5.1.1 Range resolution 4.5.1.2 The Cross-range resolution 4.5.2 Range and Cross-Range Extends 4.5.3 Imaging Multi-Bounces in ISAR 4.5.4 Sample Design Procedure for ISAR 4.5.4.1 ISAR Design Example # 1: “Aircraft target” 4.5.4.2 ISAR Design Example # 2: “Military tank target” 4.6 2D ISAR Image Formation (Wide Bandwidth, Large Angles) 4.6.1 Direct Integration 4.6.2 Polar Reformatting 4.7 3D ISAR Image Formation 4.7.1 Range and Cross-Range Resolutions 4.7.2 A Design Example 4.8 Matlab Codes References 5 Imaging Issues in Inverse Synthetic Aperture Radar 5.1 Fourier-Related Issues 5.1.1 DFT Revisited 5.1.2 Positive and Negative Frequencies in DFT 5.2 Image Aliasing 5.3 Polar Reformatting Revisited 5.3.1 Nearest Neighbor Interpolation 5.3.2 Bilinear Interpolation 5.4 Zero Padding 5.5 Point Spread Function (PSF) 5.6 Windowing 5.6.1 Common Windowing Functions 5.6.1.1 Rectangular Window 5.6.1.2 Triangular Window 5.6.1.3 Hanning Window 5.6.1.4 Hamming Window 5.6.1.5 Kaiser Window 5.6.1.6 Blackman Window 5.6.1.7 Chebyshev Window 5.6.2 ISAR Image Smoothing via Windowing 5.7 Matlab Codes References 6 Range-Doppler Inverse Synthetic Aperture Radar Processing 6.1 Scenarios for ISAR 6.1.1 Imaging Aerial Targets via Ground-Based Radar 6.1.2 Imaging Ground/Sea Targets via Aerial Radar 6.2 ISAR Waveforms for Range-Doppler Processing 6.2.1 Chirp Pulse Train 6.2.2 Stepped Frequency Pulse Train 6.3 Doppler Shift’s Relation to Cross Range 6.3.1 Doppler Frequency Shift Resolution 6.3.2 Resolving Doppler Shift and Cross Range 6.4 Forming the Range-Doppler Image 6.5 ISAR Receiver 6.5.1 ISAR Receiver for Chirp Pulse Radar 6.5.2 ISAR Receiver for SFCW Radar 6.6 Quadrature Detection 6.6.1 I-Channel Processing 6.6.2 Q-Channel Processing 6.7 Range Alignment 6.8 Defining the Range-Doppler ISAR Imaging Parameters 6.8.1 Image Frame Dimension (Image Extends) 6.8.2 Range–Cross-Range Resolution 6.8.3 Frequency Bandwidth and the Center Frequency 6.8.4 Doppler Frequency Bandwidth 6.8.5 PRF 6.8.6 Coherent Integration (Dwell) Time 6.8.7 Pulse Width 6.9 Example of Chirp Pulse-Based Range-Doppler ISAR Imaging 6.10 Example of SFCW-Based Range-Doppler ISAR Imaging 6.11 Matlab Codes References 7 Scattering Center Representation of Inverse Synthetic Aperture Radar 7.1 Scattering/Radiation Center Model 7.2 Extraction of Scattering Centers 7.2.1 Image Domain Formulation 7.2.1.1 Extraction in the Image Domain: The “CLEAN” algorithm 7.2.1.2 Reconstruction in the Image Domain 7.2.2 Fourier Domain Formulation 7.2.2.1 Extraction in the Fourier Domain 7.2.2.2 Reconstruction in the Fourier Domain 7.3 Matlab Codes References 8 Motion Compensation for Inverse Synthetic Aperture Radar 8.1 Doppler Effect Due to Target Motion 8.2 Standard MOCOMP Procedures 8.2.1 Translational MOCOMP 8.2.1.1 Range Tracking 8.2.1.2 Doppler Tracking 8.2.2 Rotational MOCOMP 8.3 Popular MOCOMP Techniques in ISAR 8.3.1 Cross-Correlation Method 8.3.1.1 Example for the Cross-Correlation Method 8.3.2 Minimum Entropy Method 8.3.2.1 Definition of Entropy in ISAR Images <p&
• Edition: Second edition
• Publisher Details: Hoboken : John Wiley & Sons, Inc
• Publication Date: 2021
• Extent: 1 online resource
• Subjects: 621.3848; Synthetic aperture radar; Signal processing
• Languages: English
• ISBNs: 9781119521389; 9781119521365
• Related ISBNs: 9781119521334
• Notes: Note: Description based on CIP data; resource not viewed.
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