The Research on Sparse Channel Estimation in Multi-Relay Cooperative Communication System

Abstract:

In a frequency selective fading environment amplify and forward relay system, the channel estimation algorithm and least squares (LS) estimation of mean square error is relatively high. And when using the compressed sensing (CS) which was proposed recently in orthogonal matching pursuit algorithm (OMP) for the single relay channel and multi relay system estimation, in order to reduce the mean square error of the system. In multi-relay cooperative communication system, allocated the power to the relay node, then respectively using the LS and OMP for channel estimation. The results show that, the orthogonal matching pursuit algorithm can greatly reduce the system mean square error, and the same channel estimation algorithm was used for the relay power allocation is also effectively reduce the estimation error, to further improve the accuracy of channel estimation.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 5153-5158
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.5153
• Online since: May 2014
• Authors: Yi Xuan Wang*, Shou Yi Yang, Tao Ge, Ai Hua Zhang
• Keywords: Channel Estimation, Compression Sensing, Cooperation Networks, Power Allocation

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