Object Locating of Electromagnetic Inclusions in Anisotropic Permeable Background Using Music Algorithm

Abstract

In this paper, a new formulation is proposed to solve an inverse scattering problem for locating isolated inclusions within a homogeneous noise-free and noisy biaxial anisotropic permeable background using MUltiple SIgnal Classification (MUSIC) algorithm. Locations of the dielectric, permeable, lossless and lossy electromagnetic or both dielectric and permeable inclusions with arbitrary ellipsoidal shapes can be restored. The numerical study of different inclusions is illustrated, and accuracy of the method is investigated. The proposed formulation is also investigated for extended inclusions backgrounds.

Multilayer Structural Diagnosis With Quasi-3d Microwave Imaging Using Ultrawideband Radio Frequency Noiselet Waveforms

“…The detection capability and the resolution offered by the MUSIC algorithm was seen to outperform the FFT-based algorithm when used to process wideband frequency-modulated continuouswave (FMCW) radar returns, particularly for the purpose of evaluating single and layered dielectric structures [32]. New formulations have been investigated to solve the inverse scattering problem for locating isolated inclusions within a homogeneous noise-free and noisy biaxial anisotropic permeable background using the MUSIC algorithm [33]. We therefore believe that the application of the MUSIC algorithm will improve the resolution using our optimized noiselet waveforms.…”