Application of the multilevel single-linkage method to one-dimensional electromagnetic inverse scattering problem

Nakhkash, Mansor; Huang, Yi; Fang, Michael

doi:10.1109/8.814945

Cited by 36 publications

(9 citation statements)

References 15 publications

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“…The estimation of wall parameters associated with a multilayered building wall has been extensively studied in the past decade within the framework of one‐dimensional inverse scattering problem. We would refer the authors to Thajudeen and Hoorfar [2010], Thajudeen et al [2011], Zhang et al [2001], Nakhkash et al [1999], and Emad Eldin et al [2009] for the estimation of wall parameters associated with multilayered building walls. The radar operating condition and electrical parameters (permittivity and conductivity) of the wall are the same as in previous example.…”

Section: Numerical and Experimental Resultsmentioning

confidence: 99%

Full polarimetric beam‐forming algorithm for through‐the‐wall radar imaging

et al. 2011

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[1] Development of an imaging algorithm that accurately models the wave propagation physical process has become an important topic in through-the-wall radar imaging (TWRI). In this paper, a full polarimetric beam-forming algorithm for through-the-wall radar imaging for a general multilayer wall case is presented and applied to various 2D and 3D simulated and measured scenarios. Polarimetric TWRI not only enhances the target characterization but also mitigates the wall ringing effect in cross polarizations. The far field layered medium Green's function is incorporated in the proposed TWRI algorithm for the quad-polarization of the target returns, namely, VV, HV, VH and HH. Due to the incorporation of the layered medium Green's function, the imaging algorithm not only takes into account the wall reflection, bending, and delay effects but also accounts for the complex scattering mechanism due to the presence of the wall. Numerical and experimental results show that the proposed full polarimetric beam former can provide high quality focused images in various wall-target scenarios, in particular, when the technique is combined with a wall parameter estimation technique.

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Section: Numerical and Experimental Resultsmentioning

confidence: 99%

Full polarimetric beam‐forming algorithm for through‐the‐wall radar imaging

et al. 2011

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“…The forward model solution is derived from an adaptation of a microwave network representation of the multi layer profile, , (Cui & Liang, 1995) and the global optimisation process is based on the multi-level single linkage (MLSL) technique developed at Liverpool University (Nakhkash, Huang and Fang, 1999).…”

Section: In Version Of Radar Resultsmentioning

confidence: 99%

<title>Wideband system for measuring dielectric properties of concrete</title>

et al. 2002

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The use of bow-tie antennas with time domain GPR systems has become quite common in civil engineering for investigation of structural integrity and location of defects in concrete structures. The depth of a sub-surface feature is evaluated by measuring the time taken for a signal pulse to reflect back from the feature and return to the surface antenna. Optimum interpretation using this approach thus depends upon an accurate knowledge of the speed of propagation of the radar signal, which is very sensitive to the moisture condition of the concrete. The amount of moisture in concrete is usually unknown, variable and very difficult to assess rapidly & non-destructively for in-situ concrete.The paper discusses the development of a wide-band system at Liverpool University, which will be used to make measurements of the complex permittivity and conductivity of concrete structures at radar frequencies, thus enabling a detailed knowledge of the variation of moisture content with depth to be acquired. Instead of using a conventional bow-tie antenna, a much wider-band TEM horn antenna has been developed and can be used in conjunction with a battery-powered portable network analyser suitable for use in the field. Results are presented showing the performance of the new antenna over a wide frequency range. Laboratory tests are discussed in which a variable moisture profile in concrete can be reliably simulated using discrete layers of dielectric material to obtain a closely stepped profile, that closely approximates to the desired linearly varying dielectric model.

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“…, [13]–[16]), and various others ( e.g. , [17], [18]). For reasons that will soon become apparent, the results of this paper are formulated in terms of the DBIM.…”

Section: Introductionmentioning

confidence: 99%

A Sparsity Regularization Approach to the Electromagnetic Inverse Scattering Problem

Winters

Veen

Hagness

2010

IEEE Trans. Antennas Propagat.

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We investigate solving the electromagnetic inverse scattering problem using the distorted Born iterative method (DBIM) in conjunction with a variable-selection approach known as the elastic net. The elastic net applies both and penalties to regularize the system of linear equations that result at each iteration of the DBIM. The elastic net thus incorporates both the stabilizing effect of the penalty with the sparsity encouraging effect of the penalty. The DBIM with the elastic net outperforms the commonly used regularizer when the unknown distribution of dielectric properties is sparse in a known set of basis functions. We consider two very different 3-D examples to demonstrate the efficacy and applicability of our approach. For both examples, we use a scalar approximation in the inverse solution. In the first example the actual distribution of dielectric properties is exactly sparse in a set of 3-D wavelets. The performances of the elastic net and approaches are compared to the ideal case where it is known a priori which wavelets are involved in the true solution. The second example comes from the area of microwave imaging for breast cancer detection. For a given set of 3-D Gaussian basis functions, we show that the elastic net approach can produce a more accurate estimate of the distribution of dielectric properties (in particular, the effective conductivity) within an anatomically realistic 3-D numerical breast phantom. In contrast, the DBIM with an penalty produces an estimate which suffers from multiple artifacts.

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Application of the multilevel single-linkage method to one-dimensional electromagnetic inverse scattering problem

Cited by 36 publications

References 15 publications

Full polarimetric beam‐forming algorithm for through‐the‐wall radar imaging

Full polarimetric beam‐forming algorithm for through‐the‐wall radar imaging

<title>Wideband system for measuring dielectric properties of concrete</title>

A Sparsity Regularization Approach to the Electromagnetic Inverse Scattering Problem

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