Abstract:

A novel approach to the microwave imaging of the perfectly conducting objects in free space using hybrid particle swarm optimization (HPSO) is put forward. A scattering model based on the momentum method and the asymptotic waveform evaluation (AWE) is used to solve the scattering problem. The error between measured scattering data and computed scattering data is considered as the object function. The shape function of the conductor is approximated by a triangular series. The inverse scattering problem is transferred into an optimization problem by minimizing the object function with triangular series parameters being optimization parameters which are solved by hybrid particle swarm optimization. A comparisons between the pseudo swarm crossover (PSC) and hybrid particle swarm optimization is carried out. The results show that the hybrid particle swarm optimization algorithm has a better convergence and imaging precision, especially more robust antijamming than the PSC one.