SAR Raw Data Generation Using Inverse SAR Image Formation Algorithms

Abstract

SAR raw data generation using inverse chirp scaling and inverse omega-k algorithms is a computationally efficient technique as compared to the traditional temporal simulation. However, the simulation of raw data from a reflectivity map requires the inclusion of coherent information. This paper describes this critical step and presents some results for a static scene as well as a moving object.