A statistical theory for the measurement and estimation of Rayleigh fading channel

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In this paper, we propose a statistical theory on measurement and estimation of Rayleigh fading channels in wireless communications and provide complete solutions to the fundamental problems: What is the optimum estimator for the statistical parameters associated with the Rayleigh fading channel, and how many measurements are sufficient to estimate these parameters with the prescribed margin of error and confidence level? Our proposed statistical theory suggests that two testing signals of different strength be used. The maximum likelihood (ML) estimator is obtained for estimation of the statistical parameters of the Rayleigh fading channel that is both sufficient and complete statistic. Moreover, the ML estimator is the minimum variance (MV) estimator that in fact achieves the Cramer-Rao lower bound.
25 pages, 10 figures

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Statistics Theory, Probability, Applications

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http://salesiana.dossiersoluciones.com/handle/123456789/132819

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0707.0284
 http://arxiv.org/abs/0707.0284

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arXiv