Estimation of FBMCOQAM Fading Channels Using Dual Kalman Filters
Joint Authors
Aldababseh, Mahmoud
Jamoos, Ali
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
We address the problem of estimating time-varying fading channels in filter bank multicarrier (FBMC/OQAM) wireless systems based on pilot symbols.
The standard solution to this problem is the least square (LS) estimator or the minimum mean square error (MMSE) estimator with possible adaptive implementation using recursive least square (RLS) algorithm or least mean square (LMS) algorithm.
However, these adaptive filters cannot well-exploit fading channel statistics.
To take advantage of fading channel statistics, the time evolution of the fading channel is modeled by an autoregressive process and tracked by Kalman filter.
Nevertheless, this requires the autoregressive parameters which are usually unknown.
Thus, we propose to jointly estimate the FBMC/OQAM fading channels and their autoregressive parameters based on dual optimal Kalman filters.
Once the fading channel coefficients at pilot symbol positions are estimated by the proposed method, the fading channel coefficients at data symbol positions are then estimated by using some interpolation methods such as linear, spline, or low-pass interpolation.
The comparative simulation study we carried out with existing techniques confirms the effectiveness of the proposed method.
American Psychological Association (APA)
Aldababseh, Mahmoud& Jamoos, Ali. 2014. Estimation of FBMCOQAM Fading Channels Using Dual Kalman Filters. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050214
Modern Language Association (MLA)
Aldababseh, Mahmoud& Jamoos, Ali. Estimation of FBMCOQAM Fading Channels Using Dual Kalman Filters. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1050214
American Medical Association (AMA)
Aldababseh, Mahmoud& Jamoos, Ali. Estimation of FBMCOQAM Fading Channels Using Dual Kalman Filters. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050214
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050214