This thesis represents a radar imaging algorithm which is capable of creating two dimensional image from a moving object. This method is called Inverse Synthetic Aperture Radar. The first applications of the algorithm are dated back to the 1980s, when the experiments took place in laboratory environment. During the development of digital signal processing technology, the ISAR algorithm got greater ground in the industry and research, including civilian and military applications.
The classic surveillance radar approach is capable of assigning a few position and motion data to the target object. In contrast with the classic method an imaging radar is dealing with one target but it produces much more information from the illuminated object, including motion parameters and two dimensional digital image. The final image is suitable for non-cooperative target recognition purposes.
The thesis summarizes the mathematical and physical background of the inverse synthetic aperture radar algorithm. Simulations and measurements from real scenarios are also included.