Microwave Imaging 3-D Buried Objects Using Parallel Genetic Algorithm Combined With FDTD Technique

Chen, X.; Liang, Ding; Huang, Keh‐Ning

doi:10.1163/156939306779292264

Cited by 58 publications

(48 citation statements)

References 18 publications

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“…The equations (1)- (5) can be numerically solved by the well-known finite-difference time-domain (FDTD) method [14][15][16].…”

Section: Model and Theorymentioning

confidence: 99%

Generation of High Repetition Rate Picosecond Pulse Train Based on Ultra-Small Silicon Waveguide

Wu¹,

Luo²

2007

PIER

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Abstract-A designed model based on the ultra-small silicon waveguide(WG) is demonstrated to generate high repetition rate picosecond pulse train. Research result shows that 50 GHz repetition rate pulse can be obtained inside a 2-mm-long ultra-small silicon WG using signal wave at 1550 nm with a cw power of 0.2 mW and different delay modulation Gaussian pulses at 1670 nm with peak of 0.6 mW before the WG. the signal pulse train obtained has duration time as short as around 6 ps full width of half maximum(FWHM) and extinction ratio as large as up to 30 dB. Additionally, each pulse of signal pulse train obtained holds equal intensity and close Gaussian waveform.

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“…The equations (1)- (5) can be numerically solved by the well-known finite-difference time-domain (FDTD) method [14][15][16].…”

Section: Model and Theorymentioning

confidence: 99%

Generation of High Repetition Rate Picosecond Pulse Train Based on Ultra-Small Silicon Waveguide

Wu¹,

Luo²

2007

PIER

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“…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%

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

Sun¹,

Chiu

Li³

2010

PIER M

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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.

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“…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

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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.

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Microwave Imaging 3-D Buried Objects Using Parallel Genetic Algorithm Combined With FDTD Technique

Cited by 58 publications

References 18 publications

Generation of High Repetition Rate Picosecond Pulse Train Based on Ultra-Small Silicon Waveguide

Generation of High Repetition Rate Picosecond Pulse Train Based on Ultra-Small Silicon Waveguide

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

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