Stochastic models for long-term multipath fading channels and their statistical properties
Date
1999Publisher
IEEESource
Proceedings of the IEEE Conference on Decision and ControlProceedings of the IEEE Conference on Decision and Control
Volume
5Pages
4947-4952Google Scholar check
Keyword(s):
Metadata
Show full item recordAbstract
This paper discusses the use of stochastic differential equations and point processes to model the long-term fading effects during transmission of electromagnetic waves over large areas, which are subject to multipaths and power loss due to long distance transmission and reflections. When measured in dB's, the power loss follows a mean reverting Ornstein-Uhlenbeck process, which implies that the power loss is log-normally distributed. The arrival times of different paths are modeled using non-homogeneous Poisson counting processes and their statistical properties of the multipath power loss are examined. The moment generating function of the received signal is calculated and subsequently exploited to derive a central limit theorem, and the second-order statistics of the channel.