The book "Synthetic Aperture Radar Signal Processing with Matlab Algorithms" by Mehrdad Soumekh is a comprehensive guide to the processing of Synthetic Aperture Radar (SAR) signals using MATLAB. The work was supported by various government agencies and private industries, including the National Science Foundation, Bell Aerospace, Space Computer Corporation, and the Air Force Office of Scientific Research. The book is organized into several chapters, each focusing on different aspects of SAR signal processing: 1. **Range Imaging**: Discusses the system model, reconstruction via matched filtering, range resolution, data acquisition, and signal processing techniques. 2. **Cross-Range Imaging**: Explores the system model, spherical phase modulation (PM) signals, reconstruction via matched filtering, cross-range resolution, and data acquisition techniques. 3. **SAR Radiation Pattern**: Covers transmit and transmit-receive mode radar radiation patterns, three-dimensional spatial domain radiation patterns, and polarization. 4. **Generic Synthetic Aperture Radar**: Introduces the system model, fast-time and slow-time Fourier transforms, reconstruction methods, digital reconstruction via spatial frequency interpolation, and motion compensation. 5. **Spotlight Synthetic Aperture Radar**: Focuses on mechanically and electronically beam-steered spotlight SAR, bandwidth, resolution, data acquisition, and reconstruction algorithms. 6. **Stripmap Synthetic Aperture Radar**: Discusses the system model, reconstruction, bandwidth, resolution, data acquisition, and moving target detection. 7. **Circular Synthetic Aperture Radar**: Covers the system model, reconstruction, bandwidth, resolution, data acquisition, and three-dimensional imaging. 8. **Monopulse Synthetic Aperture Radar**: Explores the effects of uncalibrated and unstable radars, signal subspace registration, slant plane topographic mapping, and multistatic monopulse ISAR. Each chapter includes detailed mathematical notations, examples, and MATLAB algorithms to facilitate practical implementation. The book concludes with a bibliography and index for further reference.The book "Synthetic Aperture Radar Signal Processing with Matlab Algorithms" by Mehrdad Soumekh is a comprehensive guide to the processing of Synthetic Aperture Radar (SAR) signals using MATLAB. The work was supported by various government agencies and private industries, including the National Science Foundation, Bell Aerospace, Space Computer Corporation, and the Air Force Office of Scientific Research. The book is organized into several chapters, each focusing on different aspects of SAR signal processing: 1. **Range Imaging**: Discusses the system model, reconstruction via matched filtering, range resolution, data acquisition, and signal processing techniques. 2. **Cross-Range Imaging**: Explores the system model, spherical phase modulation (PM) signals, reconstruction via matched filtering, cross-range resolution, and data acquisition techniques. 3. **SAR Radiation Pattern**: Covers transmit and transmit-receive mode radar radiation patterns, three-dimensional spatial domain radiation patterns, and polarization. 4. **Generic Synthetic Aperture Radar**: Introduces the system model, fast-time and slow-time Fourier transforms, reconstruction methods, digital reconstruction via spatial frequency interpolation, and motion compensation. 5. **Spotlight Synthetic Aperture Radar**: Focuses on mechanically and electronically beam-steered spotlight SAR, bandwidth, resolution, data acquisition, and reconstruction algorithms. 6. **Stripmap Synthetic Aperture Radar**: Discusses the system model, reconstruction, bandwidth, resolution, data acquisition, and moving target detection. 7. **Circular Synthetic Aperture Radar**: Covers the system model, reconstruction, bandwidth, resolution, data acquisition, and three-dimensional imaging. 8. **Monopulse Synthetic Aperture Radar**: Explores the effects of uncalibrated and unstable radars, signal subspace registration, slant plane topographic mapping, and multistatic monopulse ISAR. Each chapter includes detailed mathematical notations, examples, and MATLAB algorithms to facilitate practical implementation. The book concludes with a bibliography and index for further reference.