Compressed Sensing Aided Channel Estimation for Power Line Communications

• DOI: 10.4028/www.scientific.net/amr.1046.281
• Publication Date: 2014-10-01T11:42:25Z
• Authors: Xuan Liu; Da Peng Lin; Ye Shen He
• Keywords: Line (geometry); Power-line communication; Sample (material)

In this paper, we address a channel estimation scheme for power line communication systems based on compressed sensing techniques. With the properly designed pilot symbols, received signals at receiver can be reconstructed from set of random projections, benefiting reduced sampling rate. Moreover, propose novel structure PLC systems, which applied appropriate system design. Eventually, simulation results demonstrate that proposed algorithm outperforms other algorithms and reduces sample rate significantly.