Eigenspace Time-Reversal Robust Capon Beamforming for Target Localization in Continuous Random Media

We propose a novel eigenspace time-reversal robust Capon beamformer (E-TR-RCB) for improved target localization in continuous random media. We also derive the Beamspace-TR-RCB (B-TR-RCB) algorithm and compare their localization performances by varying the medium characteristic and excitation bandwidth. Finite-difference time-domain (FDTD) method is used to numerically obtain the multistatic scattered field data from the continuous random dielectric medium. The results indicate that the E-TR-RCB has superior performance over the B-TR-RCB and outperforms the conventional (elementspace) TR-RCB and decomposition of the time-reversal operator (DORT) imaging techniques.