Graph-Based Soft Channel Estimation for Fast Fading Channels

Author

Wo, Tianbin ; Hoeher, Peter Adam ; Shi, Zhenyu

Author_Institution

Fac. of Eng., Univ. of Kiel, Kiel, Germany

Volume

11

Issue

12

fYear

2012

fDate

12/1/2012 12:00:00 AM

Firstpage

4243

Lastpage

4251

Abstract

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.

Keywords

Bayes methods; channel estimation; charts; fading channels; graph theory; inference mechanisms; iterative methods; radio receivers; Bayesian inference; EXIT chart analysis; GSIR; fast fading channels; general factor graph; graph-based soft channel estimation; graph-based soft iterative receiver; soft-output data detection; Channel estimation; Estimation; Fading channels; Iterative methods; Message passing; Receivers; Time-varying channels; Time-varying channels; channel estimation; factor graphs; iterative processing;

fLanguage

English

Journal_Title

Wireless Communications, IEEE Transactions on

Publisher

ieee

ISSN

1536-1276

Type

jour

DOI

10.1109/TWC.2012.102612.101296

Filename

6353395