Graph-Based Soft Channel Estimation for Fast Fading Channels

被引：4
|
作者：
Wo, Tianbin [1 ,2 ]
Hoeher, Peter Adam [1 ]
Shi, Zhenyu [1 ,2 ]
机构：
[1] Univ Kiel, Fac Engn, Kiel, Germany
[2] Univ Kiel, Informat & Coding Theory Lab ICT, Kiel, Germany
来源：
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS | 2012年 / 11卷 / 12期
关键词：
Time-varying channels; channel estimation; iterative processing; factor graphs; ASSISTED MODULATION;
D O I：
10.1109/TWC.2012.102612.101296
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：
In this paper, a graph-based soft iterative receiver (GSIR) for fast fading channels is investigated. Soft channel estimation as well as soft-output data detection are jointly accomplished via Bayesian inference over a general factor graph. The key feature is a transfer node which enables information flow from one channel node to adjacent channel nodes. The performance characteristics of this receiver is investigated via an EXIT chart analysis and simulation results. Particular emphasis is on a proper channel code design. The algorithm is universally applicable to arbitrary (bijective and non-bijective) modulation formats and can easily be extended to multi-dimensional channel estimation.
引用
收藏
页码：4243 / 4251
页数：9
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