@inproceedings{1fbb34fec127443ba67a2d1f86673226,
title = "Experimental validation of stochastic wireless Urban channel model: Estimation and prediction",
abstract = "Stochastic state-space models can be used to describe the time-varying nature of wireless channels. This paper validates a long-term fading channel model that predicts signal strength from measured received signal strength measurements. Such channel models can be used for optimizing wireless networks deployed for industrial automation, public Internet access, and other applications. This paper uses two different sets of received signal measurement data to estimate and predict the signal strength based on past measurements. The real-world performance of the estimation and prediction algorithm is demonstrated.",
keywords = "estimation, prediction, stochastic models, wireless channels, wireless sensor networks",
author = "Teja Kuruganti and Xiao Ma and Seddik Djouadi",
year = "2012",
doi = "10.1109/MILCOM.2012.6415692",
language = "English",
isbn = "9781467317290",
series = "Proceedings - IEEE Military Communications Conference MILCOM",
booktitle = "MILCOM 2012 - 2012 IEEE Military Communications Conference",
note = "2012 IEEE Military Communications Conference, MILCOM 2012 ; Conference date: 01-11-2012 Through 01-11-2012",
}
