Synthetic Aperture Radar Signal Processing with MATLAB Algorithms

ISBN-13: 9780471297062 / Angielski / Twarda / 1999 / 648 str.

Mehrdad Soumekh

Opis

Synthetic Aperture Radar (SAR) is one of the most advanced engineering inventions of the 20th century. It offers an economy of space and materials in radar design as well as offering many practical benefits. In fact, Synthetic Aperture Radar Imaging has many commercial and military applications, including topographic imaging of the surface of planets and ocean floors, assessing crop conditions, oil exploration, surveillance and air traffic control, automatic aircraft landing, mine detection, concealed target detection in foliage, medical ultrasonic imaging and many more. This book concentrates on an important algorithm introduced by the author, the wave number approach to SAR. With this algorithm, it becomes possible to achieve the effects of a large radar antenna with a much smaller one. As such, this technology has many important applications

Spis treści

Range Imaging.

Cross–Range Imaging.

SAR Radiation Pattern.

Generic Synthetic Aperture Radar.

Spotlight Synthetic Aperture Radar.

Stripmap Synthetic Aperture Radar.

Circular Synthetic Aperture Radar.

Monopulse Synthetic Aperture Radar.

Bibliography.

Index.

O autorze

MEHRDAD SOUMEKH has served as SAR signal processing consultant for various government and industrial laboratories, including the Navy SPAWAR System Center, San Diego, and others. In addition to publishing more than 40 papers and the book Fourier Array Imaging, Dr. Soumekh holds a U.S. patent for his work on the application of wavefront reconstruction theory in SAR imaging.

Blurb

An up–to–date analysis of the SAR wavefront reconstruction signal theory and its digital implementation With the advent of fast computing and digital information processing techniques, synthetic aperture radar (SAR) technology has become both more powerful and more accurate. Synthetic Aperture Radar Signal Processing with MATLAB Algorithms addresses these recent developments, providing a complete, up–to–date analysis of SAR and its associated digital signal processing algorithms. This book introduces the wavefront reconstruction signal theory that underlies the best SAR imaging methods and provides clear guidelines to system design, implementation, and applications in diverse areas–from airborne reconnaissance to topographic imaging of ocean floors to surveillance and air traffic control to medical imaging techniques, and numerous others. Enabling professionals in radar signal and image processing to use synthetic aperture technology to its fullest potential, this work:
∗ Includes M–files to supplement this book that can be retrieved from The MathWorks anonymous FTP server at ftp://ftp.mathworks.com/pub/books/soumekh
∗ Provides practical examples and results from real SAR, ISAR, and CSAR databases
∗ Outlines unique properties of the SAR signal that cannot be found in other information processing systems
∗ Examines spotlight SAR, stripmap SAR, circular SAR, and monopulse SAR modalities
∗ Discusses classical SAR processing issues such as motion compensation and radar calibration