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Abstract
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Article Information:
Compressed Channel Estimation of Two-Way Relay Networks Using Mixed-Norm Sparse Constraint
Guan Gui, Qun Wan and Fumiyuki Adachi
Corresponding Author: Guan Gui
Submitted: October 07, 2011
Accepted: November 16, 2011
Published: August 01, 2012 |
Abstract:
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In this study, compressed channel estimation method for sparse multipath two-way relay networks
is investigated. Conventional estimation methods, e.g., Least Square (LS) and Minimum Mean Square Error
(MMSE), are based on the dense assumption of relay channel and cannot exploit channel sparsity which has
been verified by lots of channel measurements. Unlike the previous methods, we propose a compressed channel
estimation method by using bi-sparse constraint which can exploit the sparsity and hence provide significant
improvements in MSE performance when compared with conventional LS-based estimation method. Simulation
results confirm the superiority of proposed method.
Key words: Channel State Information (CSI), compressive channel estimation, compressive sensing, sparse multipath channel, Two-Way Relay Networks (TWRN), ,
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Cite this Reference:
Guan Gui, Qun Wan and Fumiyuki Adachi, . Compressed Channel Estimation of Two-Way Relay Networks Using Mixed-Norm Sparse Constraint. Research Journal of Applied Sciences, Engineering and Technology, (15): 2279-2282.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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