Data Detection for OFDM Systems with Phase Noise and Channel Estimation Errors Using Variational Inference

被引：1
作者：
Li, Feng [1 ]
Li, Shuyuan [1 ]
Li, Hailin [1 ]
机构：
[1] Xi An Jiao Tong Univ, Dept Informat & Commun Engn, Xian 710049, Peoples R China
来源：
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2017年 / E100A卷 / 04期
基金：
中国国家自然科学基金;
关键词：
channel estimation error; orthogonal frequency division multiplexing (OFDM); phase noise (PHN); variational inference; PERFORMANCE; ALGORITHMS;
D O I：
10.1587/transfun.E100.A.1037
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper studies a novel iterative detection algorithm for data detection in orthogonal frequency division multiplexing systems in the presence of phase noise (PHN) and channel estimation errors. By simplifying the maximum a posteriori algorithm based on the theory of variational inference, an optimization problem over variational free energy is formulated. After that, the estimation of data, PHN and channel state information is obtained jointly and iteratively. The simulations indicate the validity of this algorithm and show a better performance compared with the traditional schemes.
引用
收藏
页码：1037 / 1044
页数：8
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