Energy Estimation Based Tr-Music Microwave Imaging for Extended Targets

A simple and effective double-thresholding strategy based on energy estimation is proposed to choose the optimal boundary between the signal subspace and noise subspace in TR-MUSIC algorithm for microwave imaging of extended targets. Simulations and imaging results are given to demonstrate its strong noise rejection and super-resolution capability. In the new method, the shape details of extended targets can be obtained from single frequency or multi-frequency scattering data.