This book provides an introduction and practical guide to the simulation, analysis and design of SAR systems, a video eBook that covers SAR concepts with an associated toolset provided in both Python and MATLAB. It has a text and associated software that aids technical professionals in determining practical performance limits for a given synthetic aperture radar system. The text covers how parameters such as operating frequency, pulse repetition frequency, transmitting and receiving antennas, polarization, system noises and losses each affect the performance for synthetic aperture radar systems. This supplies you with valuable insight and better understanding of system performance units. The text and software help you in the selection of imaging mode, reconstruction algorithms, and focusing algorithms for their synthetic aperture radar system imaging needs. The software also gives you a mechanism for testing the various imaging modes and algorithms to help determine the one that will best suit your needs. Both help technical professionals determine on-board computing requirements as well as overall system requirements for synthetic aperture radar systems. You will cover the computational complexity of each imaging, focusing, and data processing algorithms which will then flow down to on-board computing requirements. This book is an excellent resource for engineering professionals working in areas of radar and terminal-phase navigation for weapons systems as well as students who are interested or studying synthetic aperture radar.
This comprehensive introduction to synthetic aperture radar (SAR) is a practical guide to the analysis, simulation, and design of SAR systems. The video eBook uses constructive examples and real-world collected datasets to demonstrate image registration and autofocus methods. Both two- and three-dimensional image formation algorithms are presented. Hardware, software, and environmental parameters are used to estimate performance limits for SAR operation and utilization. A set of Python and MATLAB software tools is included and provides you with an effective mechanism to analyze and predict SAR performance for various imaging scenarios and applications. Examples which use the software tools are provided at the end of each chapter to reinforce critical SAR imaging topics such as clutter-to-noise ratio, mapping rate, spatial resolution, Doppler bandwidth, pulse repetition frequency, and coherency. This is an excellent resource for engineering professionals working in areas of radar signal processing and imaging as well as students interested in studying SAR.
