中文摘要：

针对超宽带穿墙雷达的具体工作过程和穿墙雷达目标成像空间的稀疏性,提出一种基于MMV模型的压缩感知成像方法,该方法通过获取回波数据,能够降低系统在采样上的要求,利用少量的数据可以很好地恢复出所需要的信息,从而达到成像的目的。仿真实验证明了该方法的可行性和有效性。

英文摘要：

With the continuous progress of modern science and sensor systems sustainable development,access to data and increased the capacity,we need to deal with the amount of data is also larger.Shannon adopted the Nyquist sample theorem（Shannon/Nyquist） during data sampling.In order to ensure that does not restore the original signal distortion,the Nyquist sampling theorem requires the sampling frequency must be greater than equal to twice the signal bandwidth.Compressed sensing theory broke through the limitations of the traditional Nyquist sampling,using very little sample data will be able to recover the original signal.This papar,with a specific work process for ultra-wideband through-wall radar and through-wall radar target imaging space sparsity is presented based on MMV model of compressed sensing,and simulation results show the feasibility and effectiveness of the method.