Graph-based soft channel and data estimation for MIMO systems with asymmetric LDPC codes


T. Wo, C. Liu, P. A. Hoeher,


        In this paper, we propose an iterative soft channel
estimation and data detection algorithm based on a factor
graph. Channel coefficients as well as data symbols are treated
as variable nodes and are all estimated in a low-complexity
element-wise manner. Applying asymmetric LDPC codes, this
algorithm is able to deliver ambiguity-free outputs for MIMO
systems with or without training symbols. Training symbols
are inherently utilized as a type of a priori information. This
algorithm thoroughly relaxes the troublesome constraints on
training design in the sense that an arbitrary (even zero) number
of training symbols can be placed at arbitrary positions within
a data burst.

BibTEX Reference Entry 

	author = {Tianbin Wo and Chunhui Liu and Paul Adam Hoeher},
	title = "Graph-based soft channel and data estimation for {MIMO} systems with asymmetric {LDPC} codes",
	booktitle = "Int. Conf. Commun. ({ICC})",
	address = {Beijing, China},
	year = 2008,


 Download paper  Download bibtex-file

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights there in are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.