Multi-frequency imaging of small electromagnetic inclusions via limited-view near-field data

In this paper we consider the imaging of small electromagnetic inhomogeneities from measured limited-view near-field data. We propose a multi-frequency imaging algorithm for this purpose. The algorithm is based on the asymptotic expansion formula in the existence of small electromagnetic inhomogeneities. To show the effectiveness of proposed algorithm, we compare our results to a well-known MUSIC(MUltiple SIgnal Classification) algorithm and to Kirchhoff migrations. Numerical experiments are performed in order to show that how proposed algorithm behaves.