Abstract:

A novel approach for microwave imaging of the dielectric objects in free space using hybrid particle swarm optimization (HPSO) is presented. A scattering model based on the moment method(MOM) and the fast inhomogeneous plane wave algorithm （FIPWA） is applied to solve the scattering problem, and the inversions of three different objects are analyzed. The error between measured scattering data and computed scattering data is considered as the object function. The inverse scattering problem is transferred into an optimization problem by minimizing the object function with relative optimization parameters, which is solved by hybrid particle swarm optimization. Comparisons of the genetic algorithm (GA) and hybrid particle swarm optimization are carried out. The results show that hybrid particle swarm optimization is simple, versatile, and has the excellent performance in imaging precision and convergence. Another important advantage is that there is no necessary to utilize the regularization term which is essential to obtain the stabilization in application of typical direct optimization routine.