Impact of Estimation and Tracking of Time Varying Channel on Performance of Mobile Communications
Article Sidebar
-
Mobile Communications, Time Varying Channel Estimation, Kalman Filter
Abstract
This study has been carried out to evaluate the impact of estimation and tracking of time-varying channels on communications quality in mobile systems. Channel estimation and tracking are important in many wireless communication applications. The mobile system environment can be considered a suburban area where users speed between (20-140Km/h). In order to achieve high quality, the receiver needs complex channel coefficients, which can be estimated by using training symbols during less than 10% of channel coherence time. Then channel tracking can be performed by using a Kalman filter, which allows post-estimate as well as symbol detection. The results can be compared to show that the tracking leads to high-quality communication with near-optimum performance as well as expected.
Full text article
References
[1]-T. S. Rappaport," Wireless Commun-: ications Principlesand Practice", Second Edition, 2002.
[2]-J. G. Proakis," “Digital Communic-ation”, Fourth Edition, 2001.
[3]-B. D. O. Anderson and J. B. Moore, “The Kalman-Bucy Filter as a True Time-Varying Wiener Filter,” IEEE Transactions on Systems, vol. 1,pp. 119–128, 1971.
[4]-B. N. Baddour, K.E., “Autoregressive Modeling for Fading Channel Simulation,”IEEE Transactions onWireless Communications, vol. 4, no. 4,pp. 1650 –1662, July 2005.
[5]-R. Lyman and W. Edmonson, “Decision-Directed Tracking of Fading Channelsusing Linear Prediction of the Fading Envelope,” in Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers, vol. 2,pp. 1154 –1158, Oct. 1999.
[6]-G. L. St ̈uber, “Principles of Mobile Communication”. London, U.K.: Kluwer,2001.
[7]-A. Goldsmith, “WirelessCommunications”. Cambridge University Press, 2005.
[8]-B. Sklar, “Digital Communications: Fundamentals and Applications”. Prentice Hall, Englewood Cliffs, 1988.
[9]-Ziv, J. “Probability of decoding error for random phase and Rayleigh fading channels”, IEEE Transactions in communication,Jan 1965,IT-11, pp. 53-61.
[10]-M. Enescu and V. Koivunen, “Time-Varying Channel Tracking for Space-Time Block Coding,” in IEEE 55th Vehicular Technology Conference, vol. 1,pp. 294 –297, 2002.
[11]-M. Dong, L. Tong, and B. Sadler, “Optimal Insertion of Pilot Symbols for Transmissions over Time-Varying Flat Fading Channels,” IEEE Transactions on Signal Processing, vol. 52, no. 5, pp. 1403 –1418, May 2004.
[12]-M. Pukkila, “Channel Estimation Modeling”, 2000.
[13]-C. Cozzo and B. Hughes, “Joint Channel Estimation and Data Detection in Space-Time Communications,” IEEE Transactions on Communications,vol. 51, no. 8, pp. 1266 –1270, Aug. 2003.
[14]-“Matlab the language of technical computing “version 7.2.0.232 (R2010a), Math works, Ins., 2010.
Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
In a brief statement, the rights relate to the publication and distribution of research published in the journal of the University of Sebha where authors who have published their articles in the journal of the university of Sebha should how they can use or distribute their articles. They reserve all their rights to the published works, such as (but not limited to) the following rights:
- Copyright and other property rights related to the article, such as patent rights.
- Research published in the journal of the University of Sebha and used in its future works, including lectures and books, the right to reproduce articles for their own purposes, and the right to self-archive their articles.
- The right to enter a separate article, or for a non-exclusive distribution of their article with an acknowledgment of its initial publication in the journal of Sebha University.
Privacy Statement The names and e-mail addresses entered on the Sabha University Journal site will be used for the aforementioned purposes only and for which they were used.