Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels
Stochastic differential equations (SDEs) are used to model ultrawideband (UWB) indoor wireless channels. We show that the impulse responses for time-varying indoor wireless channels can be approximated in a mean-square sense as close as desired by impulse responses that can be realized by SDEs. The...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2013/467670 |
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| author | Mohammed M. Olama Seddik M. Djouadi Yanyan Li Aly Fathy |
| author_facet | Mohammed M. Olama Seddik M. Djouadi Yanyan Li Aly Fathy |
| author_sort | Mohammed M. Olama |
| collection | DOAJ |
| description | Stochastic differential equations (SDEs) are used to model ultrawideband (UWB) indoor wireless channels. We show that the impulse responses for time-varying indoor wireless channels can be approximated in a mean-square sense as close as desired by impulse responses that can be realized by SDEs. The state variables represent the inphase and quadrature components of the UWB channel. The expected maximization and extended Kalman filter are employed to recursively identify and estimate the channel parameters and states, respectively, from online received signal strength measured data. Both resolvable and nonresolvable multipath received signals are considered and represented as small-scaled Nakagami fading. The proposed models together with the estimation algorithm are tested using UWB indoor measurement data demonstrating the method’s viability and the results are presented. |
| format | Article |
| id | doaj-art-ab36be84e09d434892b8b99392445fbb |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-ab36be84e09d434892b8b99392445fbb2025-08-20T03:39:40ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772013-01-01201310.1155/2013/467670467670Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless ChannelsMohammed M. Olama0Seddik M. Djouadi1Yanyan Li2Aly Fathy3Computational Sciences & Engineering Division, Oak Ridge National Laboratory, P.O. Box 2008, MS 6085, Oak Ridge, TN 37831, USAElectrical Engineering & Computer Science Department, University of Tennessee, 1520 Middle Drive, Knoxville, TN 37996, USAElectrical Engineering & Computer Science Department, University of Tennessee, 1520 Middle Drive, Knoxville, TN 37996, USAElectrical Engineering & Computer Science Department, University of Tennessee, 1520 Middle Drive, Knoxville, TN 37996, USAStochastic differential equations (SDEs) are used to model ultrawideband (UWB) indoor wireless channels. We show that the impulse responses for time-varying indoor wireless channels can be approximated in a mean-square sense as close as desired by impulse responses that can be realized by SDEs. The state variables represent the inphase and quadrature components of the UWB channel. The expected maximization and extended Kalman filter are employed to recursively identify and estimate the channel parameters and states, respectively, from online received signal strength measured data. Both resolvable and nonresolvable multipath received signals are considered and represented as small-scaled Nakagami fading. The proposed models together with the estimation algorithm are tested using UWB indoor measurement data demonstrating the method’s viability and the results are presented.http://dx.doi.org/10.1155/2013/467670 |
| spellingShingle | Mohammed M. Olama Seddik M. Djouadi Yanyan Li Aly Fathy Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels International Journal of Antennas and Propagation |
| title | Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels |
| title_full | Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels |
| title_fullStr | Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels |
| title_full_unstemmed | Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels |
| title_short | Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels |
| title_sort | modeling real time estimation and identification of uwb indoor wireless channels |
| url | http://dx.doi.org/10.1155/2013/467670 |
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