Factor-graph-based soft self-iterative equalizer for multipath channels
Ben Lu,Guosen Yue,Xiaodong Wang,Mohammad Madihian +3 more
- 01 Apr 2005
- Vol. 2005, Iss: 2, pp 187-196
TL;DR: 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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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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References
•Book
Digital Communications
John G. Proakis
- 01 Jan 1983
TL;DR: This month's guest columnist, Steve Bible, N7HPR, is completing a master’s degree in computer science at the Naval Postgraduate School in Monterey, California, and his research area closely follows his interest in amateur radio.
27.7K
Digital communications
J.E. Mazo
- 01 Nov 1985
TL;DR: This month's guest columnist, Steve Bible, N7HPR, is completing a master’s degree in computer science at the Naval Postgraduate School in Monterey, California, and his research area closely follows his interest in amateur radio.
10.2K
Factor graphs and the sum-product algorithm
TL;DR: A generic message-passing algorithm, the sum-product algorithm, that operates in a factor graph, that computes-either exactly or approximately-various marginal functions derived from the global function.
•Journal Article
Optimal decoding of linear codes for minimizing symbol error rate
TL;DR: The general problem of estimating the a posteriori probabilities of the states and transitions of Markov source observed through a discrete memoryless channel is considered.
6.8K
Optimal decoding of linear codes for minimizing symbol error rate (Corresp.)
TL;DR: The general problem of estimating the a posteriori probabilities of the states and transitions of a Markov source observed through a discrete memoryless channel is considered and an optimal decoding algorithm is derived.
5.1K