Parametric Sparse Recovery Method for TWR Imaging with Unknown Wall Parameter

Radar imaging based on compressive sensing can produce high resolution. However, the wall parameter is unknown in reality. This paper presents a parametric sparse recovery method with unknown wall parameter. The sparse reconstruction problem is a joint optimization one. An efficient algorithm combining orthogonal matching pursuit with least square is proposed to estimate the best wall parameter and recovery the sparse signal. The experiment shows the reliability of the proposed algorithm.