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Informationen zum Autor Caner Özdemir, PhD, is Professor of the Department of Electrical-Electronics Engineering at Mersin University and Dean of Faculty of Engineering at Zirve University. Professor Özdemir has performed extensive research in synthetic aperture radar imaging and has developed many novel methods used in inverse synthetic aperture radar imaging. Klappentext This book provides a full representation of Inverse Synthetic Aperture Radar (ISAR) imagery, which is a popular and important radar signal processing tool. The book covers all possible aspects of ISAR imaging. The book offers a fair amount of signal processing techniques and radar basics before introducing the inverse problem of ISAR and the forward problem of Synthetic Aperture Radar (SAR). Important concepts of SAR such as resolution, pulse compression and image formation are given together with associated MATLAB codes.After providing the fundamentals for ISAR imaging, the book gives the detailed imaging procedures for ISAR imaging with associated MATLAB functions and codes. To enhance the image quality in ISAR imaging, several imaging tricks and fine-tuning procedures such as zero-padding and windowing are also presented. Finally, various real applications of ISAR imagery, like imaging the antenna-platform scattering, are given in a separate chapter. For all these algorithms, MATLAB codes and figures are included. The final chapter considers advanced concepts and trends in ISAR imaging. Zusammenfassung This is the only book to cover all aspects of Inverse Synthetic Aperture Radar (ISAR) imagery, which is a popular and important radar signal processing tool. It presents the detailed imaging procedures for ISAR imaging with associated MATLAB functions and codes, newly developed ISAR imaging routines, and various real-life applications. Inhaltsverzeichnis Preface xiii Acknowledgments xvii 1 Basics of Fourier Analysis 1 1.1 Forward and Inverse Fourier Transform 1 1.1.1 Brief History of FT 1 1.1.2 Forward FT Operation 2 1.1.3 IFT 2 1.2 FT Rules and Pairs 3 1.2.1 Linearity 3 1.2.2 Time Shifting 3 1.2.3 Frequency Shifting 4 1.2.4 Scaling 4 1.2.5 Duality 4 1.2.6 Time Reversal 4 1.2.7 Conjugation 4 1.2.8 Multiplication 4 1.2.9 Convolution 5 1.2.10 Modulation 5 1.2.11 Derivation and Integration 5 1.2.12 Parseval's Relationship 5 1.3 Time-Frequency Representation of a Signal 5 1.3.1 Signal in the Time Domain 6 1.3.2 Signal in the Frequency Domain 6 1.3.3 Signal in the (JTF) Plane 7 1.4 Convolution and Multiplication Using FT 11 1.5 Filtering/Windowing 11 1.6 Data Sampling 14 1.7 DFT and FFT 14 1.7.1 DFT 14 1.7.2 FFT 16 1.7.3 Bandwidth and Resolutions 18 1.8 Aliasing 19 1.9 Importance of FT in Radar Imaging 19 1.10 Effect of Aliasing in Radar Imaging 22 1.11 Matlab Codes 26 References 31 2 Radar Fundamentals 33 2.1 Electromagnetic (EM) Scattering 33 2.2 Scattering from PECs 36 2.3 Radar Cross Section (RCS) 37 2.3.1 Definition of RCS 38 2.3.2 RCS of Simple Shaped Objects 41 2.3.3 RCS of Complex Shaped Objects 42 2.4 Radar Range Equation 42 2.4.1 Bistatic Case 43 2.4.2 Monostatic Case 48 2.5 Range of Radar Detection 48 2.5.1 Signal-to-Noise Ratio (SNR) 50 2.6 Radar Waveforms 51 2.6.1 CW 51 2.6.2 FMCW 54 2.6.3 SFCW 57 2.6.4 Short Pulse 60 2.6.5 Chirp (LFM) Pulse 62 2.7 Pulsed Radar 65 2.7.1 PRF 65 2.7.2 Maximum Range and Range Ambiguity 67 2.7.3 Doppler Frequency 68 2.8 Matlab Codes 72 References 77 3 Synthetic Aperture Radar 79 3.1 SAR Modes 80 3.2 SAR System Design 80
