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2012 (Vol. 4, Issue: 08)
Article Information:

Compressive Channel Estimation for OFDM Cooperation Networks

Aihua Zhang, Guan Gui and Shouyi Yang
Corresponding Author:  Aihua Zhang 

Key words:  Amplify-and-Forward (AF), cooperation networks, Compressive Sensing (CS), multipath fading channel, Orthogonal Frequency Division Multiplexing (OFDM), ,
Vol. 4 , (08): 897-901
Submitted Accepted Published
October 12, 2011 November 25, 2011 April 15, 2012

In this study, we study compressive channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) modulated Amplify-and-Forward (AF) relay networks. Based upon the mathematical channel model of P2P and sparseness measure function, by using Monte-Carlo runs, we show that the OFDM cooperation convoluted channels also exhibit sparsity. In this study, we propose two compressive channel estimation methods to exploit the inherent sparse structure in multipath fading channels of OFDM cooperation networks with Amplify-and-Forward (AF) relays, Simulation results demonstrate that the proposed compressive channel estimation methods provide significant improvement in mean square error (MSE) performance compared with the conventional channel estimation methods.
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  Cite this Reference:
Aihua Zhang, Guan Gui and Shouyi Yang, 2012. Compressive Channel Estimation for OFDM Cooperation Networks.  Research Journal of Applied Sciences, Engineering and Technology, 4(08): 897-901.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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