Improved iterative joint detection and estimation through variational Bayesian inference

被引：3

作者：

Sadough, S. M-S ^{[1
]}

Modarresi, M. ^{[1
]}

机构：

[1] Shahid Beheshti Univ, Dept Elect Engn, Cognit Telecommun Res Grp, Tehran, Iran

来源：

AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS | 2012年 / 66卷 / 05期

关键词：

Variational Bayesian inference; Joint iterative detection and channel estimation; Channel estimation errors; OFDM; OFDM SYSTEMS;

D O I：

10.1016/j.aeue.2011.09.004

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We propose an improved variational Bayesian (VB) receiver for orthogonal frequency-division multiplexing (OFDM) systems over frequency-selective block-fading channels. Conventional VB receivers provide distribution-estimates for the channel and information symbols iteratively and jointly. The proposed scheme is different from conventional VB inference in that the VB iterative receiver also exploits the hard channel estimate extracted from previous iterations to update the channel and symbol distributions. In this way, we reduce the impact of channel uncertainty on the decoder performance by means of a modified formulation of the VB formalism. The adequacy of the proposed approach compared to classically used VB receivers is demonstrated by simulations. (C) 2011 Elsevier GmbH. All rights reserved.

引用

页码：380 / 383

页数：4

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