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

Abstract

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.

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Correspondence to Ben Lu.

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Lu, B., Yue, G., Wang, X. et al. Factor-Graph-Based Soft Self-Iterative Equalizer for Multipath Channels. J Wireless Com Network 2005, 687651 (2005). https://doi.org/10.1155/WCN.2005.187

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Keywords

  • factor graph
  • equalizer
  • iterative processing
  • multipath fading
  • MIMO