Channel estimation based on compressive sensing in two-way amplify-and-forward relay channel

The sparsity of concatenated convolutional channel in two-way amplify-and-forward relay was analyzed.Through the appropriate design of the pilot,the synthetic concatenated convolutional channels could be decomposed into two independent concatenated convolutional channels for channel estimation.Theor...

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Bibliographic Details
Published in:Tongxin xuebao
Main Authors: Hao WEI, Bao-yu ZHENG, Xiao-yun HOU, Yan ZHU
Format: Article
Language:Chinese
Published: Editorial Department of Journal on Communications 2013-10-01
Subjects:
Online Access:http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436x.2013.10.020
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Summary:The sparsity of concatenated convolutional channel in two-way amplify-and-forward relay was analyzed.Through the appropriate design of the pilot,the synthetic concatenated convolutional channels could be decomposed into two independent concatenated convolutional channels for channel estimation.Theoretical analysis and simulation results show that the concatenated convolutional channel possesses sparsity which varies within a range.The proposed scheme completes the two-way exchange of information by finishing concatenated convolutional channel estimation in end nodes.Without the priori information of the channel sparsity,this scheme improves the utilization of spectrum resources and the performance of channel estimation.
ISSN:1000-436X