Efficient SAR Raw Data Generation for Anisotropic Urban Scenes Based on Inverse Processing

Abstract

This letter describes efficient synthetic aperture radar raw data generation in the wavenumber domain using inverse processing. An exact form based on an inverse Omega-k algorithm and an approximate form based on an inverse Chirp Scaling algorithm are described, and examples are presented for a point scatterer. A methodology to incorporate the anisotropic behavior of an urban scene in a reflectivity map is also presented and demonstrated by means of a subaperture analysis.