The Study of Imaging Methods for Sparse Targets through Walls with Fuzzy Wall Geometry Parameters

Multipath exploitation has been successfully applied in through-the-wall radar imaging given prior knowledge of the room geometry. Actually, the prior information of the walls is generally not known. A Contraposition Subtraction (CONS) algorithm is proposed to solve the problems of poor wall parameter reconstruction accuracy and extremely high initial value requirements of iterative algorithms under fuzzy wall geometry, and the CONS algorithm model is established to solve the problems of high initial value requirements of traditional quasi-Newton algorithms and improved quasi- Newton-particle swarm optimization algorithms. The estimates obtained have large errors and other problems. The CONS algorithm combined with the Block Orthogonal Matching Pursuit (BOMP) algorithm can not only accurately reconstruct the position of the sidewalls, but also reconstruct the moving and stationary targets, which improves the limitations and accuracy of the algorithm to a certain extent. The simulation results and data analysis verify the performance of the proposed method.