Estimation of FBMC/OQAM Fading Channels Using Dual Kalman Filters
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 impleme...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/586403 |
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| author | Mahmoud Aldababseh Ali Jamoos |
| author_facet | Mahmoud Aldababseh Ali Jamoos |
| author_sort | Mahmoud Aldababseh |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ddff8fb4e7234c8bac78768e45032210 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-ddff8fb4e7234c8bac78768e450322102025-02-03T01:12:07ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/586403586403Estimation of FBMC/OQAM Fading Channels Using Dual Kalman FiltersMahmoud Aldababseh0Ali Jamoos1Department of Electronic Engineering, Al-Quds University, P.O. Box 20002, Jerusalem, PalestineDepartment of Electronic Engineering, Al-Quds University, P.O. Box 20002, Jerusalem, PalestineWe 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.http://dx.doi.org/10.1155/2014/586403 |
| spellingShingle | Mahmoud Aldababseh Ali Jamoos Estimation of FBMC/OQAM Fading Channels Using Dual Kalman Filters The Scientific World Journal |
| title | Estimation of FBMC/OQAM Fading Channels Using Dual Kalman Filters |
| title_full | Estimation of FBMC/OQAM Fading Channels Using Dual Kalman Filters |
| title_fullStr | Estimation of FBMC/OQAM Fading Channels Using Dual Kalman Filters |
| title_full_unstemmed | Estimation of FBMC/OQAM Fading Channels Using Dual Kalman Filters |
| title_short | Estimation of FBMC/OQAM Fading Channels Using Dual Kalman Filters |
| title_sort | estimation of fbmc oqam fading channels using dual kalman filters |
| url | http://dx.doi.org/10.1155/2014/586403 |
| work_keys_str_mv | AT mahmoudaldababseh estimationoffbmcoqamfadingchannelsusingdualkalmanfilters AT alijamoos estimationoffbmcoqamfadingchannelsusingdualkalmanfilters |