Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
Error Rates in Generalized Shadowed Fading Channels
Wireless Personal Communications: An International Journal
Stochastic power control for time-varying long-term fading wireless networks
EURASIP Journal on Applied Signal Processing
Stochastic power control for wireless networks via SDEs: probabilistic QoS measures
IEEE Transactions on Information Theory
Stochastic UWB wireless channel modeling and estimation from received signal measurements
RWS'09 Proceedings of the 4th international conference on Radio and wireless symposium
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This paper is concerned with modeling of time-varying wireless long-term fading channels, parameter estimation, and identification from received signal strength data. Wireless channels are represented by stochastic differential equations, whose parameters and state variables are estimated using the expectation maximization algorithm and Kalman filtering, respectively. The latter are carried out solely from received signal strength data. These algorithms estimate the channel path loss and identify the channel parameters recursively. Numerical results showing the viability of the proposed channel estimation and identification algorithms are presented.