基于压缩感知的放大转发双向中继信道估计

doi:10.3969/j.issn.1000-436x.2013.10.020

Abstract

Abstract:

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.

Key words: channel estimation, compressive sensing, two-way relay, concatenated convolutional channel, amplify and forward

Hao WEI,Bao-yu ZHENG,Xiao-yun HOU,Yan ZHU. Channel estimation based on compressive sensing in two-way amplify-and-forward relay channel[J]. Journal on Communications, 2013, 34(10): 174-182.

Figures/Tables 14

$K_{h_{1}}$	2	3	4	5	6	7	8
$K_{l_{1}} = 2 K_{h_{1}} - 1 (\min)$	3	5	7	9	11	13	15
$K_{l_{1}} = (1 + K_{h_{1}}) K_{h_{1}} / 2 (\max)$	3	6	10	15	21	28	36

$K_{h_{1}}$	2	3	4	5	6	7	8
$K_{h_{2}}$	1	2	3	4	5	6	7
$K_{l_{2}} K_{h_{1}} + K_{h_{2}} - 1 (\min)$	2	4	6	8	10	12	14
$K_{l_{2}} = K_{h_{1}} \times K_{h_{2}} (\max)$	2	6	12	20	30	42	56

References 19

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