Ground moving target imaging using bi-static synthetic aperture radar

Abstract

Abstract-In this paper, we present a novel method for imaging of moving targets using bi-static synthetic aperture radar configurations. We present a forward model that maps the twodimensional reflectivity and velocity of targets to the measured scattered field data. We then introduce a filtered-backprojection type method to reconstruct the reflectivity and use Renyi entropy to determine the two-dimensional velocity of targets. The filter is determined so that the reflectivity images are reconstructed at the correct location, orientation and strength whenever the velocity field is determined correctly. We present numerical simulations to verify our theory.

Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization

“…In this paper, we present a framework for reconstructing focused images and recovering their two-dimensional velocities based on the phase-space reflectivity (PSR) of the scene of interest, which is a function that depends on twodimensional space and velocity variables [7]- [9], [12], [17]. We formulate SAR GMTI as an optimization problem over the discretized PSR matrix, utilizing its special mathematical structure.…”

Moving Target Artifacts in Bistatic Synthetic Aperture Radar Images

“…This class includes autofocus type methods [27], [35], the keystone transform based methods [23], [34], time-frequency transform based methods [29], [30], inverse synthetic aperture imaging type methods [36]- [38], and GLRT type methods in which the reflectivity images are formed for a range of hypothesized motion parameters while simultaneously estimating the unknown motion parameters [1]- [4], [27], [31], [33], [39], [43].…”

“…We assume that the antennas are in the far-field of the scene and model the received signal, d, as follows [3], [7], [43]:…”

“…It can be shown that given the velocity of the targets, a focused reflectivity image of the scene can be formed by backprojection [43]. However, target velocities are rarely available a priori for motion compensation.…”