Title :
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
fDate :
12/1/2012 12:00:00 AM
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;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2012.102612.101296
