Abstract:

The existing time-domain beamforming imaging methods for ultra-wideband (UWB) through-the-wall radar suffer from low-resolution, high sidelobe levels and poor interference suppression capabilities. In order to solve the problems, the data-adaptive robust Capon beamformer (RCB) method is proposed for through-the-wall imaging applications. The received signals from all channels are alligned by compensating for geometric attenutation, wall propagation attenutation and refraction effects. Then the RCB imaging method is applied to achieve much better resolution and much better interference suppression capabilities. The effectiveness of the proposed method is demonstrated by achieving two dimensional images of hidden targets based on FDTD numerical simulations and the experimentally measured data.