2004
DOI: 10.1109/tcomm.2004.838675
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Matched-Filter Bound for Binary Signaling Over Dispersive Fading Channels With Receive Diversity

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Cited by 4 publications
(3 citation statements)
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“…Using extensive simulation results, we show that our proposed PRPP approach when applied to uncoded singleuser MIMO system with spatial multiplexing and multi-user MIMO system with non-cooperating users also yields nearexponential diversity. Additionally, when the PRPP is applied to uncoded single-user OFDM and SC-FDMA systems with two receiver antennas yields performance within 0.1 and 0.3 dB, respectively, of the matched-filter bound (MFB) [18], [19], [20]. We note that, similar to our PRPP approach, the diversity transform (DRT) in [21] also tries to improve the reliability of uncoded transmission over frequency-flat channels via linear transformations.…”
Section: Introductionmentioning
confidence: 83%
“…Using extensive simulation results, we show that our proposed PRPP approach when applied to uncoded singleuser MIMO system with spatial multiplexing and multi-user MIMO system with non-cooperating users also yields nearexponential diversity. Additionally, when the PRPP is applied to uncoded single-user OFDM and SC-FDMA systems with two receiver antennas yields performance within 0.1 and 0.3 dB, respectively, of the matched-filter bound (MFB) [18], [19], [20]. We note that, similar to our PRPP approach, the diversity transform (DRT) in [21] also tries to improve the reliability of uncoded transmission over frequency-flat channels via linear transformations.…”
Section: Introductionmentioning
confidence: 83%
“…For an idealized MF receiver, we assume that perfect CSI is available at the receiver and that the receiver is ideally synchronized to the received signal [5,14]. The so-called MFB achieved by the idealized MF receiver describes the performance of uncoded and ISI-free signaling over additive white Gaussian noise [14].…”
Section: H H H H H H H H H H H Hmentioning
confidence: 99%
“…For an idealized MF receiver, we assume that perfect CSI is available at the receiver and that the receiver is ideally synchronized to the received signal [5,14]. The so-called MFB achieved by the idealized MF receiver describes the performance of uncoded and ISI-free signaling over additive white Gaussian noise [14]. In general, MFB is a theoretical bound that cannot be achieved by practical equalizers because of several factors, such as ISI and the inaccuracies of channel estimation.…”
Section: H H H H H H H H H H H Hmentioning
confidence: 99%