GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference 2009
DOI: 10.1109/glocom.2009.5426027
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Impact of DFE Error Propagation on FEC-Based High-Speed I/O Links

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Cited by 12 publications
(6 citation statements)
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“…The state transitions probabilities are easily calculated using the standard error function. For example, the probability of going from state 8 to state 6 is much less than the probability of going from state 8 to state 9 as depicted in the pdfs, P 8,6 = 1 2 Q( −h(0)−2h (1) σ ) << P 8,9 = 1 2 Q( −h(0)+2h (1) σ ) for this given channel. Similarly, all other state transition probabilities were also calculated.…”
Section: Dfe Error Propagationmentioning
confidence: 96%
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“…The state transitions probabilities are easily calculated using the standard error function. For example, the probability of going from state 8 to state 6 is much less than the probability of going from state 8 to state 9 as depicted in the pdfs, P 8,6 = 1 2 Q( −h(0)−2h (1) σ ) << P 8,9 = 1 2 Q( −h(0)+2h (1) σ ) for this given channel. Similarly, all other state transition probabilities were also calculated.…”
Section: Dfe Error Propagationmentioning
confidence: 96%
“…As expected, due to the wrong decisions, the noise margin severely degrades. Especially, if the tap magnitudes are higher, the probability of error burst increases exponentially [1]. In practice, direct feedback structure creates timing constrain -the decision and subtraction must happen within 1 UI and that is hard to meet at 10+ Gb/s.…”
Section: Dfe Error Propagationmentioning
confidence: 99%
“…The statistical model proposed in [16] will be introduced in this section to estimate the pre-FEC BER in the presence of DFE error propagation. We first explain how DFE error propagation is modeled using Markov chain theory, and then apply trellis-based dynamic programming to efficiently collect probabilities of all error patterns that are needed for post-FEC BER calculation in Section IV.…”
Section: Modeling Dfe Error Propagationmentioning
confidence: 99%
“…Past work on post-FEC BER estimation has focused on systems with BCH codes which operate in GF(2) using 2-PAM signaling [16]. A Markov chain model from [17] was adopted in [16] to account for DFE error propagation, and possible burst-error patterns are systematically grouped through trellis-based dynamic programming. However, 4-PAM signaling is becoming increasingly critical for 50 Gb/s+ wireline links [18]- [20], often with DFEs [21], [22].…”
mentioning
confidence: 99%
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