Group Sparse Basis Pursuit Denoising Reconstruction Algorithm for Polarimetric Through-the-Wall Radar Imaging

Three-Dimensional Polarimetric Diffraction Tomographic Algorithm for Real-Time Through-the-Wall Radar Imaging

In this paper a three-dimensional (3D) diffraction tomographic algorithm is proposed for real-time through-the-wall radar imaging (TWRI). The spectral expansion of the three-layered medium dyadic Green’s function is employed to derive a linear relation between the spatial Fourier transforms of the image and the scattered field. Then the image can be efficiently reconstructed with inverse Fast F...

Through - Wall Imaging Radar

Knock and announce missions occur frequently on the urban battlefield. It would be advantageous to locate all of the humans inside an urban structure and obtain a "head count" prior to action. For this reason, we developed a through-wall radar sensor capable of locating moving targets through concrete-walled structures and of displaying the results (in range versus cross range) at a video frame...

BASIS PURSUIT BASED GENETIC ALGORITHM FOR DAMAGE IDENTIFICATION

In damage detection the number of elements is generally more than the number of measured frequencies. Consequently, the corresponding damage detection equation is undetermined and thus has infinite solutions. Since in the damaged structures most of their elements remain healthy, the sparsest solution for the damage detection equation is mostly the actual damage. In the proposed method, the dama...

Through the Wall Radar Simulations Using Polarimetric Antenna Patterns

Iterative Basis Pursuit for Image Sequence Denoising

An iterative method is purposed in this paper using the basis pursuit algorithm for spatial denoising, coupled with temporal wavelet denoising to result in a denoised video signal. Introduction Several new techniques have been developed recently for the purposes of denoising images. The most promising of these techniques have been the curvelet and undecimated wavelet transforms. Using a basis p...