Abstract:

A hybrid multi-phase particle swarm optimization (HMPPSO) is proposed to the inversion of perfect electric conductor (PEC) targets below the dielectric rough surface. While the errors between the measured bistatic scattering coefficients and the computed bistatic scattering coefficients are considered as the object function, the parameters of the buried object are viewed as the variables to be optimized. The buried object is inversed when the object function is minimized to the minimal. To quicken the inversion procedure and improve the inversion accuracy, a fast cross coupling iterative approach (CCIA) is used to solve the forward scattering problem and the HMPPSO, which is based on a small swarm size strategy and cross searching mechanism among the sub-swarms and optimal swarm, is used to reduce the object function evaluation times (corresponding to the forward problem calculation times) and improve the global searching ability. The PEC objects with the cross section of circular and of any irregular continuous shape below one dimensional rough surface are inversed and both the accuracy and the robust of anti-noise of the algorithm are validated by simulation.