Based on the authors' 20 years' research work on Inverse Synthetic Aperture Radar (ISAR) imaging of moving targets and non-cooperative target recognition, this book provides readers with knowledge of various algorithms of ISAR imaging of targets and implementation with MATLAB. It introduces basic principles of radar backscattering, radar imaging, and signal analysis. It describes the characteristics of radar returns from targets, how to produce well-focused ISAR images of moving targets, and what features that can extracted from ISAR images. Also introduced are several important algorithms for ISAR image formation, ISAR image auto-focusing, and applications of ISAR imaging to air targets, sea vessels and ground moving targets. Examples of ISAR imaging of ground moving targets, air targets, and sea vessels are discussed in detail.

Synthetic aperture radar and inverse synthetic aperture radar (SAR/ISAR) images have been largely used for monitoring small to large areas and more specifically for target recognition/identification. However, the technology has limitations due to the use of classical monostatic, single channel, single frequency and single polarization systems. To overcome these limitations, solutions have been proposed that show the benefit of using multiple frequencies, spatial channels, polarisations and perspective, in one word multi-dimensional radar imaging systems when dealing with non-cooperative targets.