基于压缩感知的子孔径方位特性多径利用方法

Compressive sensing framework-based aspect dependent multipath ghost exploit in TWRI

针对穿墙雷达成像(TWRI)中多径效应导致图像重建结果出现虚假目标的问题,提出了一种基于压缩感知(CS)框架利用成像虚假目标与阵列子孔径方位相关性的多径利用方法。修正现有的多径回波脉冲信号模型,以多径分量为观测通道,利用真实目标、虚假目标与阵列子孔径的相关性对多径信息进行分析,对多径分量中的有效信息加以利用,从而对目标精确重建。该方法使几何反射位置不再是约束,同时传感矩阵大大减少,有效降低了计算复杂度,使得该方法更具吸引力。仿真结果验证了此方法的有效性。

The multi-path effect in the through-wall radar imaging( TWRI) could lead theghost target of image reconstruction. In order tosolve this problem,we propose a multi-path utilization method based on the compressed sensing( CS) framework to exploit the correlation between the imaging ghost target and the array sub-aperture orientation. The existing multipath echo pulse signal model is modified,and the multipath component is used as the observation channel. The multipath information is analyzed by the correlation between the real target. With applying the false target and the array subaperture,the effective information in the multipath component is utilized,thus accurately reconstructing the target. This method makes the geometric reflection position no longer a constraint while and the sensing matrix is greatly reduced. Our proposed methodeffectively reduces the computational complexity and makes the method more attractive. Simulation results verify the effectiveness of this method.