Object locating in anisotropic dielectric background using MUSIC algorithm

Shirmehenji, Faezeh; Nezhad, Abolghasem Zeidaabadi; Firouzeh, Zaker Hossein

doi:10.1109/istel.2016.7881849

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…In this paper, we introduce the mixed polarization MUSIC algorithm for underwater localization. The mixed polarization MUSIC algorithm is different from the other MUSIC algorithms for radar, such as root-MUSIC and beamspace MUSIC: MP-MUSIC could deal with signal polarization, which is suitable for underwater electro-locating, allowing us to get the space position of a electric dipole without considering or solving the moment azimuth of the electric dipole, reducing the computation time [27,28]. The position of the target can be located via finding the minimum eigenvalue of the estimated gain matrix and the project matrix of the noise subspace by using the MP-MUSIC algorithm [29].…”

Section: Introductionmentioning

confidence: 99%

An Improved Underwater Electric Field-Based Target Localization Combining Subspace Scanning Algorithm And Meta-EP PSO Algorithm

Shang

Xue

et al. 2020

JMSE

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In this paper, we propose an improved three-dimensional underwater electric field-based target localization method. This method combines the subspace scanning algorithm and the meta evolutionary programming (meta-EP) particle swarm optimization (PSO) algorithm. The subspace scanning algorithm is applied as the evaluation function of the electric field-based underwater target locating problem. The meta-EP PSO method is used to select M elite particles by the q-tournament selection method, which could effectively reduce the computational complexity of the three-dimensional underwater target localization. Moreover, the proposed meta-EP PSO optimization algorithm can avoid subspace scanning trapping into local minima. We also analyze the positioning performance of the uniform circular and cross-shaped electrodes arrays by using the subspace scanning algorithm combined with meta–EP PSO. According to the simulation, the calculation amount of the proposed algorithm is greatly reduced. Moreover, the positioning accuracy is effectively improved without changing the positioning accuracy and search speed.

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Section: Introductionmentioning

confidence: 99%

An Improved Underwater Electric Field-Based Target Localization Combining Subspace Scanning Algorithm And Meta-EP PSO Algorithm

Shang

Xue

et al. 2020

JMSE

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“…In [16,17] the locations of two and three dimensional ellipsoidal inclusions in free space are found, and the locations of three dimensional cubical inclusions are determined in an anisotropic background in [18] and ellipsoidal inclusions in [19].…”

Section: Introductionmentioning

confidence: 99%

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

Shirmehenji¹,

Zeidaabadi-Nezhad²,

Firouzeh³

2018

PIER C

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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.

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Underwater Electro-Location Method Based on Improved Matrix Adaptation Evolution Strategy

Guo

Shang

et al. 2018

IEEE Access

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Object locating in anisotropic dielectric background using MUSIC algorithm

Cited by 3 publications

References 4 publications

An Improved Underwater Electric Field-Based Target Localization Combining Subspace Scanning Algorithm And Meta-EP PSO Algorithm

An Improved Underwater Electric Field-Based Target Localization Combining Subspace Scanning Algorithm And Meta-EP PSO Algorithm

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

Underwater Electro-Location Method Based on Improved Matrix Adaptation Evolution Strategy

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