2004
DOI: 10.1109/tcomm.2004.829516
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Exact Error-Rate Analysis of Diversity 16-QAM With Channel Estimation Error

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Cited by 75 publications
(59 citation statements)
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“…2004 Cao and Beulieu [200] Derived the BER of M-QAM relying on PSAM aided CE in static and Rayleigh fading channels for both single branch reception and maximal ratio combining diversity receivers.…”
Section: 1 the Proposed Arrangement Is Referred To As Thementioning
confidence: 99%
See 1 more Smart Citation
“…2004 Cao and Beulieu [200] Derived the BER of M-QAM relying on PSAM aided CE in static and Rayleigh fading channels for both single branch reception and maximal ratio combining diversity receivers.…”
Section: 1 the Proposed Arrangement Is Referred To As Thementioning
confidence: 99%
“…For instance, Cao and Beaulieu [200] investigated the family of imperfectcoherent PSAM systems relying on receive diversity, while Gu and Leung [196] investigated Alamouti's transmit diversity scheme, which was further explored by Wang et al [209] under a more sophisticated system based on STBC and CDMA. Additional contribution are listed in Table 4.2.…”
Section: 1 the Proposed Arrangement Is Referred To As Thementioning
confidence: 99%
“…Only for minimum mean square error-channel estimation, the error term e and the estimated channelĉ are uncorrelated; E{e * ĉ } = 0 [16]. A versatile channel estimation model in [17] describes the correlated channel estimation error for an arbitrary linear channel estimators. The model decouples the correlation betweenĉ and e by introducing a new uncorrelated random variable (RV) z,…”
Section: Channel Estimation Error Modelmentioning
confidence: 99%
“…In [3] the effect of channel estimation error on the performance of the viterbi equalizer is studied in the SIMO framework. In [4] the bit-error rate (BER) performance of multilevel quadrature amplitude modulation with pilot-symbol-assisted modulation channel estimation in static and Rayleigh fading channels is derived, both for single branch reception and maximal ratio combining diversity receiver systems. However, in [5] they show that the practical ML channel estimator preserves the diversity order of MRC (Maximum Ratio Combining), see also [6] for more profound analysis.…”
Section: Introductionmentioning
confidence: 99%