EM-Based Semi-Blind Channel Estimation in Amplify-and-Forward Two-Way Relay Networks

被引：11
|
作者：
Abdallah, Saeed [1 ]
Psaromiligkos, Ioannis N. [1 ]
机构：
[1] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ H3A 2A7, Canada
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2013年 / 2卷 / 05期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Amplify and forward; expectation maximization; semi-blind channel estimation; two-way relays;
D O I：
10.1109/WCL.2013.070113.130406
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this letter, we propose an expectation maximization (EM)-based algorithm for semi-blind channel estimation of reciprocal channels in amplify-and-forward (AF) two-way relay networks (TWRNs). By utilizing data samples as well as pilots, the proposed algorithm provides substantially higher estimation accuracy than the conventional training-based least squares (LS) estimator without incurring a significant computational cost. Simulation results also show that it performs very close to the corresponding semi-blind Cramer-Rao bound.
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页码：527 / 530
页数：4
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