Correlation-matching multipath suppression algorithm in three-dimensional through-wall radar imaging

Abstract

The interference of the multipath spreading among the targets and the interior walls will be introduced into the radar image. This study mainly deals with the multipath suppression problem in three-dimensional (3D) through-the-wall radar imaging. The authors propose a correlation-matching multipath suppression algorithm to eliminate the first-order back wall multipath ghosts. Specifically, they first extract the barycentre coordinates of all objects in the original radar image. Second, a decision criterion is provided to measure the relevance between these objects. If two objects are closely related, they assert that they have multipath-target relationship. Finally, they eliminate the multipath ghosts after all objects being determined. At the analysis stage, they assess the effectiveness of the proposed approach through simulation results, which shows its ability of well-removing multipath ghosts.

Keywords

• radar imaging
• interference suppression
• stereo image processing
• image matching
• multipath channels
• decision theory
• multipath suppression problem
• through-the-wall radar imaging
• correlation-matching multipath suppression algorithm
• multipath-target relationship
• 3d through-wall radar imaging
• first-order back wall multipath ghosts
• decision criterion
• barycentre coordinates