title: Imaging small three-dimensional elastic inclusions by an enhanced multiple signal classification method.
abstract: In this paper, an enhanced multiple signal classification (MUSIC) algorithm is introduced to retrieve small three-dimensional elastic inclusions. First, the multistatic response (MSR) matrix is built by two different ways depending on considering the multiple scattering effect or not. The eigenvalue structure of the MSR matrix is analyzed to identify the degenerate case of inclusions. Second, the pseudo-spectrum function is built with an optimal test direction on each node, where a balancing technique is employed to ensure the numerical stability. Benefitting from this MUSIC indicator, the degenerate inclusions can be located with a good performance against noise. Numerical simulations show the proposed method has wider applicability, better resolution, and more robust in the presence of noise than the standard MUSIC methods.
authors.affiliation: Department of Electrical and Computer Engineering, National University of Singapore, 117576, Singapore. elesongr@nus.edu.sg
authors.forename: Rencheng
authors.initials: R
authors.lastname: Song
authors.forename: Xudong
authors.initials: X
authors.lastname: Chen
authors.forename: Yu
authors.initials: Y
authors.lastname: Zhong
mesh_terms: D000162:Acoustics; D000465:Algorithms; D003198:Computer Simulation; D004548:Elasticity; D054459:Elasticity Imaging Techniques; D008962:Models, Theoretical; D009716:Numerical Analysis, Computer-Assisted; D012542:Scattering, Radiation; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D013018:Sound Spectrography