ZHENG Chen, XI Xiao-li, SONG Zhong-guo, et al. A Singular Vector Stationarity Method for Clutter Mitigation in Through-the-Wall Radar Based on Subspace Method[J]. Acta Electronica Sinica, 2019, 47(4): 848-854.
ZHENG Chen, XI Xiao-li, SONG Zhong-guo, et al. A Singular Vector Stationarity Method for Clutter Mitigation in Through-the-Wall Radar Based on Subspace Method[J]. Acta Electronica Sinica, 2019, 47(4): 848-854. DOI: 10.3969/j.issn.0372-2112.2019.04.012.
the target image is often buried in the wall reflections and other clutter waves
and the target image cannot be obtained.Subspace technique uses the received echo matrix Singular Value Decomposition (SVD) to remove the wall subspace
it is a mature technique and has broad applications in TWI.In order to distinguish the wall subspace and the target subspace
this paper presents a new wall subspace extractive method based on the stationarity of left-singular vector.SVD is applied to the echo matrix and the left-singular vectors are used to determine the subspace belonging to the wall or the target.Compared with the traditional subspace technique
this method has a better performance in wall subspace extraction.Meanwhile
the capability of suppressing wall clutter is enhanced
and the quality of the target imaging is improved.