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Content Provider | IET Digital Library |
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Author | Bouzan, Milad Akhlaghi Dehmollaian, Mojtaba |
Abstract | In this study, the capability of the opposition-based differential evolution stochastic searching algorithm in shape reconstruction of a two-dimensional conducting target buried in a lossy dielectric half-space is investigated using simulated backscattered fields calculated above the ground by both method of moment with far-field approximation and geometrical optics approximation at different observation and frequency points. For an efficient reconstruction, the target boundary is approximated by a non-uniform cubic B-spline curve with variable number of curve control parameters (CP). Using the knot insertion Oslo algorithm and through the optimisation process, the DE algorithm finds the optimum number of CP, successfully reconstructs the ground parameters (i.e. permittivity and conductivity) together with target upper part shape and location for moderate values of the signal-to-noise power ratio. |
Starting Page | 157 |
Ending Page | 165 |
Page Count | 9 |
ISSN | 17518725 |
Volume Number | 7 |
e-ISSN | 17518733 |
Issue Number | Issue 3, Feb (2013) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-map/7/3 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-map.2012.0581 |
Journal | IET Microwaves, Antennas & Propagation |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Approximation Theory Buried Object Adaptive Shape Reconstruction Combinatorial Mathematics Computer Vision And Image Processing Technique Curve Control Parameter Differential Evolution Electromagnetic Wave Propagation Electromagnetic Wave Scattering Far-field Approximation Geometrical Optics Approximation Geometry Ground Parameter Estimation Image Recognition Interpolation And Function Approximation Nonuniform Cubic B-spline Curve Numerical Analysis Object Recognition Opposition-based Differential Evolution Stochastic Searching Algorithm Optimisation Process Optimisation Technique Parameter Estimation Search Problem Shape Recognition Signal-to-noise Power Ratio Stochastic Linearised SCUC Two-dimensional Conducting Target Buried |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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