Factor-Graph-Based Soft Self-Iterative Equalizer for Multipath Channels

<p/> <p>We consider factor-graph-based soft self-iterative equalization in wireless multipath channels. Since factor graphs are able to characterize multipath channels to per-path level, the corresponding soft self-iterative equalizer possesses reduced computational complexity in sparse...

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Bibliographic Details
Main Authors: Yue Guosen, Madihian Mohammad, Wang Xiaodong, Lu Ben
Format: Article
Language:English
Published: SpringerOpen 2005-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Online Access:http://jwcn.eurasipjournals.com/content/2005/687651
Description
Summary:<p/> <p>We consider factor-graph-based soft self-iterative equalization in wireless multipath channels. Since factor graphs are able to characterize multipath channels to per-path level, the corresponding soft self-iterative equalizer possesses reduced computational complexity in sparse multipath channels. The performance of the considered self-iterative equalizer is analyzed in both single-antenna and multiple-antenna multipath channels. When factor graphs of multipath channels have no cycles or mild cycle conditions, the considered self-iterative equalizer can converge to optimum performance after a few iterations; but it may suffer local convergence in channels with severe cycle conditions.</p>
ISSN:1687-1472
1687-1499