A model of an artificial neural network for frequency dependence of radar cross section

During recent years, the artificial neural network (ANN) has been applied t o electromagnetic (EM) engineering as a fast and flexible method for modeli ng, simulation, and optimization. In this paper, an ANN model for the frequ ency dependence of a radar cross section (RCS) is proposed and trained by m eans of the measured data. Using this trained ANN model, the frequency depe ndence of an RCS can be extended to a lower or higher frequency region. The extended results are in reasonably good agreement with the measured and co mputed results by the optical model published. (C) 1999 John Wiley & Sons, Inc.