FPGA Implementation of an ImageCompression and Reconstruction System for the Onboard Radar Using the Compressive Sensing

Abstract

the onboard radar is emerging as one of the most practical methods that can be used for identification and many other applications. Nowadays, almost all unmanned applications use onboard radar as a main sensor that provides critical information. Airplanes, satellites and some unmanned vehicles use various kinds of radars sensors depending on the required mission. Imaging radar sensor is used to produce two-dimensional images. It produces its light to illuminate certain area and take a picture at radio wavelengths. This kind of radars produces high quality images with large size. Thus; the produced images must be compressed to reduce their size and decompressed when used. There are different algorithms for compression and decompression, but when onboard, there is a need for an algorithm that will not consume excessive power to save batteries and require less time to be reliable for use. This paper discloses a new methodology for the image compression based upon the compressive sensing techniques., its implementation using the FPGA and the required simulation.