Factor-Graph-Based Soft Self-Iterative Equalizer for Multipath Channels
<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 c...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2005-01-01
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Series: | EURASIP Journal on Wireless Communications and Networking |
Subjects: | |
Online Access: | http://dx.doi.org/10.1155/WCN.2005.187 |
Summary: | <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> |
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ISSN: | 1687-1472 1687-1499 |