Image Reconstruction of Arbitrary Cross Section Conducting Cylinder Using UWB Pulse

Zhong, Xin; Liao, Cheng; Chen, W.; Yang, Zhong; Liao, Yo‐Chang; Meng, Fei

doi:10.1163/156939307779391786

Cited by 32 publications

(21 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…v k id and x k id are the velocity and position of the i-th particle in the d-th dimension at k-th generation, ϕ 1 and ϕ 2 are both the random number between 0 and 1. It should be mentioned that the V max method is also applied to control the particle's searching velocity and to confine the particle within the search space [14]. The "damping boundary condition" proposed by Huang and Mohan [18] to ensure the particles move within the legal search space.…”

Section: Modified Asynchronous Particle Swarm Optimization (Apso)mentioning

confidence: 99%

“…In the past twenty years, the inversion techniques are developed intensively for the microwave imaging both in frequency domain and time domain [3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Most of the inversion techniques are investigated for the inverse problem using only single frequency scattering data (monochromatic source) [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…In recent year, most of the researchers have applied APSO together with the frequency domain EM solver for the inverse problems [13]. Fewer researchers had applied the genetic/evolutionary algorithms in time domain for the inverse scattering problem for target identification [14,15] and penetrable object reconstruction [16]. To the best of our knowledge, a comparative study about the performances of particle swarm optimization (PSO) and asynchronous particle swarm optimization (APSO) has not yet been reported with application to the electromagnetic inverse scattering problems.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Time-Domain Inverse Scattering of a Two-Dimensional Metallic Cylinder in Slab Medium Using Asynchronous Particle Swarm Optimization

Sun¹,

Chiu

Li³

2010

PIER M

View full text Add to dashboard Cite

Abstract-This paper presents asynchronous particle swarm optimization (APSO) applied to the time-domain inverse scattering problems of two-dimensional metallic cylinder buried in slab medium. For this study the finite-difference time-domain (FDTD) is employed for the analysis of the forward scattering part, while for the APSO is applied for the reconstruction of the two-dimensional metallic cylinder buried in slab medium, which includes of the location and shape the metallic cylinder. For the forward scattering, conceptually several electromagnetic pulses are launched to illuminate the unknown scatterers, and then the scattered electromagnetic fields around are measured. In order to efficiently describe the details of the cylinder shape, subgridding technique is implemented in the finite difference time domain method. Then, the simulated EM fields are used for inverse scattering, in which APSO is employed to transform the inverse scattering problem into optimization problem. By comparing the simulated scattered fields and the calculated scattered fields, the shape and location of the metallic cylinder are reconstructed. In addition, the effects of Gaussian noises on imaging reconstruction are also investigated.

show abstract

Section: Modified Asynchronous Particle Swarm Optimization (Apso)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Time-Domain Inverse Scattering of a Two-Dimensional Metallic Cylinder in Slab Medium Using Asynchronous Particle Swarm Optimization

Sun¹,

Chiu

Li³

2010

PIER M

View full text Add to dashboard Cite

show abstract

“…However, the time domain scattering data is important for the inverse problem because the available information content about scatterer is more than the only single frequency scattering data. Therefore, various time domain inversion approaches are proposed [12][13][14][15][16][17][18][19][20][21][22][23][24][25] that could be briefly classified as the layer-stripping approach [12], the iterative approach: Born iterative method (BIM) [13][14][15], the distorted Born iterative method (DBIM) [16], Local Shape Function (LSF) [17] and optimization approach [18][19][20][21]. Traditional iterative inverse algorithms are founded on a functional minimization via some gradient-type scheme.…”

Section: Introductionmentioning

confidence: 99%

“…In general, during the search of the global minimum, they tend to get trapped in local minima when the initial guess is far from the exact one. Some global optimal searching method such as genetic algorithm [22][23][24], neural network [25], have be proposed to search the global extreme of the nonlinear functional problem. In the 1995, the Kennnedy and Eberhart first proposed the particle swarm optimization (PSO) [30].…”

Section: Introductionmentioning

confidence: 99%

Time Domain Inverse Scattering of a Two-Dimensional Homogenous Dielectric Object With Arbitrary Shape by Particle Swarm Optimization

Huang¹,

Chiu²,

Li³

et al. 2008

PIER

View full text Add to dashboard Cite

Abstract-This paper presents a computational approach to the twodimensional time domain inverse scattering problem of a dielectric cylinder based on the finite difference time domain (FDTD) method and the particle swarm optimization (PSO) to determine the shape, location and permittivity of a dielectric cylinder. A pulse is incident upon a homogeneous dielectric cylinder with unknown shape and dielectric constant in free space and the scattered field is recorded outside. By using the scattered field, the shape and permittivity of the dielectric cylinder are reconstructed. The subgridding technique is implemented in the FDTD code for modeling the shape of the cylinder more closely. In order to describe an unknown cylinder with arbitrary shape more effectively, the shape function is expanded by closed cubicspline function instead of frequently used trigonometric series. The inverse problem is resolved by an optimization approach, and the global searching scheme PSO is then employed to search the parameter space. Numerical results demonstrate that, even when the initial guess is far away from the exact one, good reconstruction can be obtained. In addition, the effects of Gaussian noise on the reconstruction results are investigated. Numerical results show that even the measured scattered E fields are contaminated with some Gaussian noise, PSO can still yield good reconstructed quality.

show abstract

Electromagnetic imaging of buried perfectly conducting cylinder targets using the dynamic differential evolution

Sun

Chiu

2011

Int J RF and Microwave Comp Aid Eng

View full text Add to dashboard Cite

Dynamic differential evolution (DDE) for shape reconstruction of perfect conducting cylinder buried in a half-space is presented. Assume that a conducting cylinder of unknown shape is buried in one half-space and scatters the field incident from another half-space where the scattered filed is measured. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equations is derived and the imaging problem is reformulated into an optimization problem. The inverse problem is resolved by an optimization approach, and the global searching scheme DDE is then used to search the parameter space. Numerical results demonstrate that even when the initial guess is far away from the exact one, good reconstruction can be obtained by using DDE both with and without the additive Gaussian noise.

show abstract

Image Reconstruction of Arbitrary Cross Section Conducting Cylinder Using UWB Pulse

Cited by 32 publications

References 7 publications

Time-Domain Inverse Scattering of a Two-Dimensional Metallic Cylinder in Slab Medium Using Asynchronous Particle Swarm Optimization

Time-Domain Inverse Scattering of a Two-Dimensional Metallic Cylinder in Slab Medium Using Asynchronous Particle Swarm Optimization

Time Domain Inverse Scattering of a Two-Dimensional Homogenous Dielectric Object With Arbitrary Shape by Particle Swarm Optimization

Electromagnetic imaging of buried perfectly conducting cylinder targets using the dynamic differential evolution

Contact Info

Product

Resources

About