Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms

Caner Ozdemir 지음

Wiley-Interscience 2012년 02월 03일 출간

작품소개

책소개

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.

목차

Preface xiiiAcknowledgments xvii1 Basics of Fourier Analysis 11.1 Forward and Inverse Fourier Transform 11.1.1 Brief History of FT 11.1.2 Forward FT Operation 21.1.3 IFT 21.2 FT Rules and Pairs 31.2.1 Linearity 31.2.2 Time Shifting 31.2.3 Frequency Shifting 41.2.4 Scaling 41.2.5 Duality 41.2.6 Time Reversal 41.2.7 Conjugation 41.2.8 Multiplication 41.2.9 Convolution 51.2.10 Modulation 51.2.11 Derivation and Integration 51.2.12 Parseval&-s Relationship 51.3 Time-Frequency Representation of a Signal 51.3.1 Signal in the Time Domain 61.3.2 Signal in the Frequency Domain 61.3.3 Signal in the (JTF) Plane 71.4 Convolution and Multiplication Using FT 111.5 Filtering/Windowing 111.6 Data Sampling 141.7 DFT and FFT 141.7.1 DFT 141.7.2 FFT 161.7.3 Bandwidth and Resolutions 181.8 Aliasing 191.9 Importance of FT in Radar Imaging 191.10 Effect of Aliasing in Radar Imaging 221.11 Matlab Codes 26References 312 Radar Fundamentals 332.1 Electromagnetic (EM) Scattering 332.2 Scattering from PECs 362.3 Radar Cross Section (RCS) 372.3.1 Defi nition of RCS 382.3.2 RCS of Simple Shaped Objects 412.3.3 RCS of Complex Shaped Objects 422.4 Radar Range Equation 422.4.1 Bistatic Case 432.4.2 Monostatic Case 482.5 Range of Radar Detection 482.5.1 Signal-to-Noise Ratio (SNR) 502.6 Radar Waveforms 512.6.1 CW 512.6.2 FMCW 542.6.3 SFCW 572.6.4 Short Pulse 602.6.5 Chirp (LFM) Pulse 622.7 Pulsed Radar 652.7.1 PRF 652.7.2 Maximum Range and Range Ambiguity 672.7.3 Doppler Frequency 682.8 Matlab Codes 72References 773 Synthetic Aperture Radar 793.1 SAR Modes 803.2 SAR System Design 803.3 Resolutions in SAR 833.4 SAR Image Formation: Range and Azimuth Compression 853.5 Range Compression 863.5.1 Matched Filter 863.5.2 Ambiguity Function 903.6 Pulse Compression 96

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저자(글) Caner Ozdemir

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Caner #214;zdemir, PhD, is Professor of the Department of Electrical-Electronics Engineering at Mersin University and Dean of Faculty of Engineering at Zirve University. Professor #214;zdemir has performed extensive research in synthetic aperture radar imaging and has developed many novel methods used in inverse synthetic aperture radar imaging.

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