1995
DOI: 10.1109/26.481223
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Asymptotical performance of M-ary and binary signals over multipath/multichannel Rayleigh and Rician fading

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Cited by 66 publications
(31 citation statements)
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“…We assume that the signal constellation has an average energy of one. In order to have an average CSNR of at each receive antenna, the modulators weight the symbols by (see (1)). The channel is assumed to be Rayleigh flat fading, so that the complex path gain from transmit antenna to receive antenna , , has a zero-mean unit-variance complex Gaussian distribution, denoted by , with i.i.d.…”
Section: Symbol Pairwise Error Probabilities Of Space-time Orthogmentioning
confidence: 99%
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“…We assume that the signal constellation has an average energy of one. In order to have an average CSNR of at each receive antenna, the modulators weight the symbols by (see (1)). The channel is assumed to be Rayleigh flat fading, so that the complex path gain from transmit antenna to receive antenna , , has a zero-mean unit-variance complex Gaussian distribution, denoted by , with i.i.d.…”
Section: Symbol Pairwise Error Probabilities Of Space-time Orthogmentioning
confidence: 99%
“…1 Using the moment generating function of Gaussian random 1 We assume here that all path gains contribute equally in Y . This assumption is valid for most orthogonal codes used in the literature, including Alamouti's G code and the G and G codes of [14].…”
Section: Symbol Pairwise Error Probabilities Of Space-time Orthogmentioning
confidence: 99%
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“…We prefer the term "combining gain" as channel coding is not applied here. 3 We will extend our signal model in Section 3.2.3 to binary frequency-shift keying (BFSK) modulation.…”
Section: Signal Modelmentioning
confidence: 99%
“…This mathematical function plays a vital role in the analysis and design of digital communications since the conditional error probability (CEP) of a broad class of coherent modulation schemes can be expressed either in terms of Q(x) alone or as a weighted sum of its integer powers (e.g., see E Q x from its canonical integral representation of (1) (owing to the presence of the argument of the function in the lower limit of the integral) have led to the development of alternative exponential-type integral representations for the Q-function and its integer powers [1,Eqs. (4.2), (4.9), (4.31) and (4.32)], analytically simple and tight closed-form bounds and approximations for Q(x) [3]- [16], characteristic function method [21] and the asymptotic analysis approach [17]- [19]. Table 1.…”
Section: Introductionmentioning
confidence: 99%