Synthetic Aperture Radar Signal Processing with MATLAB Algorithms

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

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

Booknews

Addresses recent advances in synthetic aperture radar (SAR) technology and its associated digital signal processing algorithms, enabled by fast computing and digital information processing techniques. The author introduces the wavefront reconstruction signal theory<-->for which he holds a patent<-->underlying better SAR imaging methods; and provides guidelines for system design, implementation, and applications in diverse areas: from airborne reconnaissance and topographic imaging of ocean floors, to air traffic control and medical imaging. MATLAB algorithms are provided here and on an ancillary Internet site for simulation, digital signal processing, and reconstruction of various one- dimensional radar and multidimensional SAR imaging modalities. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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.