DRM Channel Estimation via OMP Algorithm

Digital Radio Mondiale (DRM) standard is the most mature digital broadcasting system standard all over the world. Due to the limited spectrum characteristics of DRM communication systems, pilot-based DRM channel estimation brings great challenges. In this paper, the channel estimation problem is transformed into a sparse recovery problem by leveraging the compressed sensing problem. Subsequently, the orthogonal matching pursuit (OMP) sparse recovery algorithm is employed to obtain accurate estimation performance with a lower pilot overhead. Compared with the traditional least square algorithm, simulation results demonstrate that the OMP-based channel estimation algorithm can obtain accurate estimation results with lower pilots, and improve the spectrum utilization while improving the estimation performance.