A generalized approach for through-the-wall radar imaging with compressive sensing

In this paper, a generalized approach for the imaging of targets behind multilayered building walls with limited amount of measurement is cast within the framework of CS and solved with sparseness constrained optimization. The far field layered medium Green´s function is incorporated in the imaging formula to take into account and compensate for the wall effects. By exploiting the sparsity of the target space, less cluttered and high resolution image can be achieved with far fewer measurement.