Iterative LMMSE Individual Channel Estimation with Superimposed Training over One-Way Relay Networks

被引:0
作者
Zhang, Shun [1 ]
Sheng, Min [1 ]
Gao, Feifei [2 ]
机构
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
[2] Tsinghua Natl Lab Informat Sci & Technol, Beijing, Peoples R China
来源
2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2014年
关键词
AMPLIFY-AND-FORWARD; DESIGN;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this paper, we investigate the individual channel estimation for three-node one-way relay network (OWRN), where both source and destination are equipped with multiple antennas. Without resorting to the composite channel estimation, as did in the traditional work, we directly estimate the individual channels from an iterative linear minimum mean-square-error (LMMSE) estimator. The closed-form least square (LS) channel estimator is also derived through matrix unitary diagonalization to provide a good initialization for the iterative LMMSE estimator. To make the work more complete, we present two performance lower bounds: Bayesian Cramer lower bound (BCRB) and linear estimation lower bound (LELB), for the proposed algorithm. Numerical results are provided to corroborate our proposed studies.
引用
收藏
页码:4717 / 4721
页数:5
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