
Summary: The inverse scattering problem for objects characterized by compactly supported scattering potentials embedded in a known inhomogeneous background medium given single-frequency, multistatic data is addressed within the distorted wave Born approximation (DWBA). The DWBA formulation of the multistatic data matrix is found to be in the form of a linear mapping from the Hilbert space of compactly supported scattering potentials to the finite-dimensional space \(C^N\) of complex \(N\)-tuples where \(N = N_\beta \times N_\alpha\) is the product of the number of receiver elements \(N_\beta\) with the number of transmitter elements \(N_\alpha\). A pseudo-inverse of this mapping is shown to be representable as a series of products of complex conjugate background Green functions whose expansion coefficients are readily found by inverting a set of \(N\) simultaneous linear algebraic equations in \(N\) unknowns. An expression for the point spread function of the inversion algorithm is computed that is object independent and only a function of the background Green function and the measurement geometry, and thus allows the user to access 'image quality' of the algorithm as a function of these quantities. The paper includes a number of computer simulations illustrating the reconstruction algorithm developed in the paper.
Inverse problems for PDEs, Inverse scattering problems in quantum theory, inversion algorithm, distorted wave Born approximation, scattering potentials, Scattering theory for PDEs, Inverse problems (including inverse scattering) in optics and electromagnetic theory, multistatic data matrix, background Green functions
Inverse problems for PDEs, Inverse scattering problems in quantum theory, inversion algorithm, distorted wave Born approximation, scattering potentials, Scattering theory for PDEs, Inverse problems (including inverse scattering) in optics and electromagnetic theory, multistatic data matrix, background Green functions
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