倾斜阵列下奇异值分解穿墙雷达杂波抑制

Clutter Reduction of Through-the-Wall Radar Based on Singular Value Decomposition Under Tilted Array

天线阵列与墙体之间的未知倾斜角会影响超宽带穿墙雷达目标位置探测与成像。针对天线阵列不平行于墙体时引起的目标偏移与墙体杂波难于抑制的问题,提出时延校正的基于Jacobi奇异值分解的杂波抑制算法。即首先通过时延校正使得天线阵列等效于平行于墙体放置,再通过单边Jacobi实现奇异值分解,获取正交性好的奇异向量,利用子空间投影抑制墙体杂波,最后对目标进行探测与成像。仿真结果表明经过该方法处理后可准确定位目标,并且能够获得较好的墙体杂波抑制效果,成像的目标杂波比有了明显提高。

Target location detection and imaging of ultra-wide band through-wall-radar are affected by the unknown dip angle between the antenna array and the wall.Aiming at the problem that the target is offset and the wall clutter are difficult to mitigate caused by the tilted antenna array,a wall clutter suppression algorithm based on Jacobi singular value decomposition with delay correction is proposed.Firstly,the antenna array is made to be equivalently parallel to the wall by time delay correction.Then the singular value decomposition is implemented by one-sided Jacobi,which achieves good orthogonal singular vectors.Afterwards,the subspace projection is used to mitigate wall components.Finally,the target is detected and imaged.Simulation results demonstrate that the proposed method can precisely locate target and obtain better wall clutter suppression effect.The target-to-clutter ratio of the image has been significantly improved.