Compressed Sensing Aided Channel Estimation for Power Line Communications

Xuan Liu; Da Peng Lin; Ye Shen He

doi:10.4028/www.scientific.net/AMR.1046.281

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1046Compressed Sensing Aided Channel Estimation for...

Compressed Sensing Aided Channel Estimation for Power Line Communications

Abstract:

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, the received signals at the receiver can be reconstructed from a set of random projections, benefiting from a reduced sampling rate. Moreover, we propose a novel channel estimation structure for PLC systems, which can be applied for appropriate system design. Eventually, simulation results demonstrate that the proposed algorithm outperforms other algorithms and reduces the sample rate significantly.

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Periodical:

Advanced Materials Research (Volume 1046)

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281-284

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1046.281

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Online since:

October 2014

Authors:

Xuan Liu, Da Peng Lin, Ye Shen He

Keywords:

Channel Estimation, Compressive Sensing, Power Line Communication

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References

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