IEEE GLOBECOM 1998 (Cat. NO. 98CH36250)
DOI: 10.1109/glocom.1998.776492
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Polynomial cancellation coding of OFDM to reduce intercarrier interference due to Doppler spread

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Cited by 77 publications
(43 citation statements)
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“…Fig. 9 provides clear evidence that the "basis expansion model" (BEM) constructed from a rectangularly-windowed si- 3 Since the MSE of the O(N) (linear) equalizer in [14] is lower bounded by that of the linear MMSE estimator (12), it is clear that the O(N) equalizers SIE, BIE, and SDF significantly outperform the one in [14]. nusoidal basis [16], [20] and truncated to include no more than elements, where , is ineffective in its description of doubly selective WSSUS Rayleigh channels; receivers designed around this BEM will perform poorly on true (i.e., nonapproximate) channels.…”
Section: Numerical Results and Discussionmentioning
confidence: 99%
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“…Fig. 9 provides clear evidence that the "basis expansion model" (BEM) constructed from a rectangularly-windowed si- 3 Since the MSE of the O(N) (linear) equalizer in [14] is lower bounded by that of the linear MMSE estimator (12), it is clear that the O(N) equalizers SIE, BIE, and SDF significantly outperform the one in [14]. nusoidal basis [16], [20] and truncated to include no more than elements, where , is ineffective in its description of doubly selective WSSUS Rayleigh channels; receivers designed around this BEM will perform poorly on true (i.e., nonapproximate) channels.…”
Section: Numerical Results and Discussionmentioning
confidence: 99%
“…7 and 8 compare the subcarrier-averaged MSE performance of the SDF, BDF, BIE, and SIE iterative symbol estimation algorithms proposed in Section IV-C3 to the MFB, AMFB, and linear MMSE estimator (12). Each trace represents the average of 5000 channel/data realizations.…”
Section: Numerical Results and Discussionmentioning
confidence: 99%
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