@Article{CiCP-11-2, author = {}, title = {Simultaneous Scatterer Shape Estimation and Partial Aperture Far-Field Pattern Denoising}, journal = {Communications in Computational Physics}, year = {2012}, volume = {11}, number = {2}, pages = {271--284}, abstract = {
We study the inverse problem of recovering the scatterer shape from the far-field pattern(FFP) in the presence of noise. Furthermore, only a discrete partial aperture is usually known. This problem is ill-posed and is frequently addressed using regularization. Instead, we propose to use a direct approach denoising the FFP using a filtering technique. The effectiveness of the technique is studied on a scatterer with the shape of the ellipse with a tower. The forward scattering problem is solved using the finite element method (FEM). The numerical FFP is additionally corrupted by Gaussian noise. The shape parameters are found based on a least-square error estimator. If ũ∞ is a perturbation of the FFP then we attempt to find Γ, the scatterer shape, which minimizes ‖ u∞−ũ∞ ‖ using the conjugate gradient method for the denoised FFP.
}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.181109.011210s}, url = {https://global-sci.com/article/80692/simultaneous-scatterer-shape-estimation-and-partial-aperture-far-field-pattern-denoising} }