1963
DOI: 10.1109/tcom.1963.1088747
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The Effect of Frequency Selective Fading on the Binary Error Probabilities of Incoherent and Differentially Coherent Matched Filter Receivers

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Cited by 190 publications
(34 citation statements)
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“…Invoking the central limit theorem then leads to the aforementioned complex Gaussian process. This is basically the same logic leading to the continuous Rayleigh model, or more precisely, the Gaussian wide-sense stationary uncorrelated scattering (GWSSUS) model of the urban mobile radio channel advocated by Bello, Cox, and others [17] which appears as a straight line on the semilog plot. This results in the exponential probability density function, -for the path power gain, or, equivalently, the Rayleigh probability density function,…”
Section: =0mentioning
confidence: 68%
“…Invoking the central limit theorem then leads to the aforementioned complex Gaussian process. This is basically the same logic leading to the continuous Rayleigh model, or more precisely, the Gaussian wide-sense stationary uncorrelated scattering (GWSSUS) model of the urban mobile radio channel advocated by Bello, Cox, and others [17] which appears as a straight line on the semilog plot. This results in the exponential probability density function, -for the path power gain, or, equivalently, the Rayleigh probability density function,…”
Section: =0mentioning
confidence: 68%
“…Phases are not important from the power control point of view, and in this way, we can reduce control information to be carried. This also makes the system more robust since phases can change fast during deep fades and thus cause problems to the adaptive algorithm [39,40].…”
Section: Adaptive Fxlms Algorithmmentioning
confidence: 99%
“…The performance of the conventional and modified FxLMS algorithms is almost identical. However, in the second row, the faster phase variations during deep fades [39] clearly cause problems to the conventional FxLMS algorithm.…”
Section: Power Control Over a Fading Channel With The Nonquantized Mfmentioning
confidence: 99%
“…In the literature, the correlation coefficient is taken to vary from 0.9 [14] to 0.37 [10] for a time separation of . For bandwidths in the 10 kHz range, and Doppler spreads of the order of 100 Hz, will typically range between 0.9 and 0.99.…”
Section: Channel Modelmentioning
confidence: 99%