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Microwave Imaging Based on the AWE and HPSO Incorporated with the Information Obtained from Born Approximation

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3 Author(s)
Huang Guo-rong ; Air Force Eng. Univ., Xi'an, China ; Zhong Wei-jun ; Liu Hua-wei

A novel approach for microwave imaging of the dielectric objects in free space using hybrid particle swarm optimization (HPSO) is presented in this paper. A scattering model based on the method of moment and the asymptotic waveform evaluation (AWE) is used to solve the scattering problem in this paper. The error between measured field and computed field is considered as the object function. The inverse scattering problem is transferred into an optimization problem by minimizing the object function, which is solved by hybrid particle swarm optimization. Comparisons of the Genetic Algorithms (GA) and hybrid particle swarm optimization are carried out. The results show that hybrid particle swarm optimization has the excellent performance imaging precision and robust anti-jamming. 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.

Published in:

Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on

Date of Conference:

10-12 Dec. 2010