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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mhamdi, B. Grayaa, K. Aguili, T. |
| Copyright Year | 2009 |
| Description | Author affiliation: Communications Systems Laboratory (Syscom), Engineer School of Tunis - ENIT, P.O. Box 37, 1002, le belvedere - Tunisia (Mhamdi, B.; Grayaa, K.; Aguili, T.) |
| Abstract | This paper presents a new microwave imaging approach for the reconstruction and the dielectric characterization of physically inaccessible cylindrical objects. Due to its superior performance, radial basis functions network (RBF) is adopted to solve the inverse scattering problem. However, the problem of selecting the appropriate number of basis functions and defining the optimal parameters remains a critical issue for RBF network. Hence, it is useful to select an optimization process of hidden layer of RBF network. For better convergence, error rates and object reconstruction results, Particle Swarm Optimization (PSO), a new promising algorithm, is proposed to train RBF network. The incorporation of PSO in RBF Network is accomplished by optimizing the hidden unit number and their centers. In this work, a formulation of the approach is described and images of reconstructed circular cylinder are reported. |
| Starting Page | 231 |
| Ending Page | 234 |
| File Size | 327893 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424450909 |
| DOI | 10.1109/ICECS.2009.5410978 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-13 |
| Publisher Place | Tunisia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Inverse problems Microwave imaging Radial basis function networks Permittivity Image reconstruction Electromagnetic scattering Dielectrics Particle swarm optimization Particle scattering Moment methods Microwave-imaging Method of Moments Particle Swarm Optimization Radial Basis Functions |
| Content Type | Text |
| Resource Type | Article |
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