Book Description

Synthetic aperture radars (SAR) are extensively used for military and civilian applications. Compared to real aperture radar, SAR systems synthesize a long antenna by means of a moving carrier (e.g . aircraft) in order to obtain high resolution SAR images. SAR systems have the advantage of long-range propagation of signals and modern complex information processing capability to provide high resolution imagery. In this thesis, a Step-by-Step Search Algorithm is proposed for estimating the non-linear motion components (range error and azimuth error) using the maximum standard deviation criteria. Block Based Signal Processing is done on every pixel so as to compensate for motion error at every pixel at the center of the block. Thus the solution is aimed at estimating the unknown motion error components (without assuming the distribution of the error components) at block center thus increasing the sharpness of the image. Motion Compensation for known error and unknown error are performed with identical simulation parameters. Simulations are limited to two dimensional SAR system by combining range and altitude to slant range, but the concepts can also be extended to three dimensional systems. (Abstract shortened by UMI.).