Clutter Suppression for Through-the-Wall Radar Based on Robust Non-Negative Matrix Factorization in Dual-Domain

The strong clutter typically impedes the accurate imaging and detection of targets for through-the-wall radar (TWR) system. In this letter, a joint dual-domain (JDD) clutter suppression method based on robust non-negative matrix factorization (RNMF) is proposed for TWR system. The proposed method exploits RNMF algorithm to remove the clutter in both the signal and image domains. Specifically, the exponentially weighted multiplication fusion is employed to fuse the two decluttered images in the signal and image domains. The optimal value of the exponential factor for fusion is determined using the minimum entropy criterion. The experimental results have shown that the proposed method can provide the better clutter suppression performance compared to the existing low rank and sparse decomposition (LRSD) based approaches.