Factor-graph-based soft self-iterative equalizer for multipath channels

  • Authors:
  • Ben Lu;Guosen Yue;Xiaodong Wang;Mohammad Madihian

  • Affiliations:
  • Silicon Laboratories, Inc., Austin, TX;NEC Laboratories America, Inc., Princeton, NJ;Department of Electrical Engineering, Columbia University, New York, NY;NEC Laboratories America, Inc., Princeton, NJ

  • Venue:
  • EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
  • Year:
  • 2005

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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.