Paper Info
Title
2D Graph-Based Soft Channel Estimation for MIMO-OFDM
Abstract
We address joint channel estimation and data detection based on factor graphs. The considered graph-based approach utilizes reliability information of channel estimates to facilitate soft-output data detection, and in-turn reliability information about the data symbols is taken into account for channel estimation. In this paper graph-based soft channel estimation and detection is extended to an OFDM based air interface, where the channel response varies in two dimensions; time and frequency. Initial channel estimates obtained by training symbols are conveyed by a two dimensional (2D) factor-graph in time and frequency with only a linear increase in complexity. The required training overhead for the proposed 2D graph-based soft channel estimation scheme may be substantially reduced by taking the redundancy introduced by the channel coding into account.
Year
DOI
Venue
2010
10.1109/ICC.2010.5502317
Communications
Keywords
Field
DocType
MIMO communication,OFDM modulation,channel coding,channel estimation,graph theory,2D graph-based soft channel estimation,MIMO-OFDM,channel coding,channel detection,channel response,in-turn reliability information,soft output data detection,two dimensional factor graph
Graph theory,MIMO-OFDM,Factor graph,Computer science,Binary erasure channel,Communication channel,Algorithm,Theoretical computer science,Real-time computing,Redundancy (engineering),Channel capacity,Orthogonal frequency-division multiplexing
Conference
ISSN
ISBN
Citations 
1550-3607
978-1-4244-6402-9
6
PageRank 
References 
Authors
0.49
8
4
Name
Order
Citations
PageRank
Christopher Knievel160.49
Zhenyu Shi260.49
Peter Adam Hoeher317919.85
Gunther Auer4192.41