Summary
International Symposium on Antennas and Propagation
2012
Session Number:2D3
Session:
Number:2D3-1
Detection Algorithm for Two Air Holes in Underground Using Particle Swarm Optimization
Atsushi Kusunoki,
pp.-
Publication Date:2012/10/29
Online ISSN:2188-5079
Summary:
This manuscript presents a detection algorithm for underground objects using particle swarm optimization (PSO). It is assumed that cylindrical dielectric objects with arbitrary cross sections are buried in a lossy homogeneous soil. Some line sources and receiving antennas are located over a ground surface and the scattered waves are measured from the soil contains the objects. Introducing FDTD method, we can obtain scattered electromagnetic waves from the soil. A cost functional for an inverse scattering problem is defined using measured electromagnetic components and calculated ones for estimated parameters of the objects. Applying our detection algorithm that based on PSO to a minimization of the functional, we can obtain estimated parameters for the objects. For the purpose of enhancing a convergence of the algorithm to the optimal solution, we have modified the original PSO formulation using the excellent agents in successive generation. In order to avoid local minima in the early stage of the estimation, we have employed a technique similar to a mutation in genetic algorithm and a reducing method of the estimation regions for each parameter of the objects gradually. For a case of two cylindrical air holes with circular cross sections, we estimate the location, radius, and relative permittivity of these holes. Numerical results confirm the effectiveness of the proposed algorithm for the detection of the air holes in underground.