@inproceedings{8652932d1e254aa0ad522bcf088f7779,
title = "Stochastic wireless channel modeling, estimation and identification from measurements",
abstract = "This paper is concerned with stochastic modeling of wireless fading channels, parameter estimation, and system identification from measurement data. Wireless channels are represented by stochastic state-space form, 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 measurements. These algorithms estimate the channel inphase and quadrature components and identify the channel parameters recursively. The proposed algorithm is tested using measurement data, and the results are presented.",
keywords = "Expectation maximization, Identification, Kalman filter, Stochastic modeling, Wireless channels",
author = "Olama, {Mohammed M.} and Yanyan Li and Djouadi, {Seddik M.} and Charalambous, {Charalambos D.}",
year = "2008",
doi = "10.1063/1.2953019",
language = "English",
isbn = "9780735405400",
series = "AIP Conference Proceedings",
pages = "433--438",
booktitle = "Intelligent Systems and Automation - 1st Mediterranean Conference on Intelligent Systems and Automation (CISA '08)",
note = "1st Mediterranean Conference on Intelligent Systems and Automation, CISA '08 ; Conference date: 30-06-2008 Through 02-07-2008",
}