Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms

Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms

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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.

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Product details

  • Hardback | 408 pages
  • 164 x 244 x 28mm | 707.6g
  • John Wiley and Sons Ltd
  • Wiley-Blackwell
  • Hoboken, United States
  • English
  • 0470284846
  • 9780470284841
  • 991,667

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Back cover copy

Everything needed to create and analyze ISAR images Inverse synthetic aperture radar (ISAR) has proven to be a powerful signal processing tool used to create images of moving targets. This book first takes readers through all the core concepts underlying the creation of ISAR imagery and then guides them step by step through basic ISAR research. The author also sets forth a broad range of MATLAB(R) functions and codes, enabling readers to create their own high-quality ISAR images. Inverse Synthetic Aperture Radar Imaging with MATLAB(R) Algorithms begins with three chapters dedicated to Fourier analysis, radar fundamentals, and synthetic aperture radar. These chapters lay the foundation for the fourth chapter, which explains basic ISAR concepts and provides detailed procedures for conventional ISAR imaging, along with the associated MATLAB(R) codes. Next, the author presents: Imaging techniques and fine-tuning procedures such as zero-padding and windowing that enhance image quality ISAR waveforms and receivers, quadrature detection, Doppler shift phenomena, and range-Doppler ISAR imaging algorithm Scattering center representation of ISAR, including algorithms to reconstruct high-fidelity images and field data from the scattering centers Applications of ISAR imaging to solve engineering problems such as antenna scattering and antenna coupling Motion compensation techniques, including the cross-correlation method, minimum entropy method, and joint-time, frequency-based motion compensation Each chapter ends with a detailed bibliography, guiding readers to the current literature in the field. Covering all facets of ISAR concepts and practice, this book is ideal for microwave and antenna engineers as well as physicists, enabling them to create and analyze images to support a broad range of imaging needs in geology, geophysics, agriculture, oil and mineral exploration, environmental sciences, and military operations.

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About Caner Ozdemir

Caner Ozdemir, PhD, is Professor of the Department of Electrical-Electronics Engineering at Mersin University and Dean of Faculty of Engineering at Zirve University. Professor Ozdemir 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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