RLS channel estimation and tracking for MIMO-extended IEEE 802.11a WLANs
Wireless communication systems based on multiple-input multiple-output (MIMO) technology and orthogonal frequency division multiplexing (OFDM) have the potential to achieve enormous increase in the capacity and link reliability. In order to realize such systems, channel estimation is crucial. In thi...
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| Format: | Article |
| Language: | English |
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International Journal of Computer Science and Network Security
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/16583/ http://psasir.upm.edu.my/id/eprint/16583/1/RLS%20channel%20estimation%20and%20tracking%20for%20MIMO-extended%20IEEE%20802.11a%20WLANs.pdf |
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| author | Saeed, Mohammed Abdo Noordin, Nor Kamariah Mohd Ali, Borhanuddin Khatun, Sabira Ismail, Mahamod |
| author_facet | Saeed, Mohammed Abdo Noordin, Nor Kamariah Mohd Ali, Borhanuddin Khatun, Sabira Ismail, Mahamod |
| author_sort | Saeed, Mohammed Abdo |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Wireless communication systems based on multiple-input multiple-output (MIMO) technology and orthogonal frequency division multiplexing (OFDM) have the potential to achieve enormous increase in the capacity and link reliability. In order to realize such systems, channel estimation is crucial. In this paper, an adaptive channel estimation and tracking scheme based on recursive least squares (RLS) algorithm is proposed for MIMO OFDM-based wireless local area networks (WLANs). Preamble-aided channel estimation is performed in time-domain (TD). The estimator is then extended to perform decision-directed (DD) channel tracking during data transmission. The channel is assumed to be constant during one OFDM symbol and evolving in time according to the first-order Markov process. Different training rates at different Doppler frequencies were investigated. Simulation results show that the proposed estimation scheme has excellent performance measured in terms of the mean squares error (MSE) and the bit error rate (BER), provided that the forgetting factor of the RLS algorithm is optimally selected. |
| first_indexed | 2025-11-15T08:08:06Z |
| format | Article |
| id | upm-16583 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:08:06Z |
| publishDate | 2008 |
| publisher | International Journal of Computer Science and Network Security |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-165832018-03-29T02:26:18Z http://psasir.upm.edu.my/id/eprint/16583/ RLS channel estimation and tracking for MIMO-extended IEEE 802.11a WLANs Saeed, Mohammed Abdo Noordin, Nor Kamariah Mohd Ali, Borhanuddin Khatun, Sabira Ismail, Mahamod Wireless communication systems based on multiple-input multiple-output (MIMO) technology and orthogonal frequency division multiplexing (OFDM) have the potential to achieve enormous increase in the capacity and link reliability. In order to realize such systems, channel estimation is crucial. In this paper, an adaptive channel estimation and tracking scheme based on recursive least squares (RLS) algorithm is proposed for MIMO OFDM-based wireless local area networks (WLANs). Preamble-aided channel estimation is performed in time-domain (TD). The estimator is then extended to perform decision-directed (DD) channel tracking during data transmission. The channel is assumed to be constant during one OFDM symbol and evolving in time according to the first-order Markov process. Different training rates at different Doppler frequencies were investigated. Simulation results show that the proposed estimation scheme has excellent performance measured in terms of the mean squares error (MSE) and the bit error rate (BER), provided that the forgetting factor of the RLS algorithm is optimally selected. International Journal of Computer Science and Network Security 2008 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/16583/1/RLS%20channel%20estimation%20and%20tracking%20for%20MIMO-extended%20IEEE%20802.11a%20WLANs.pdf Saeed, Mohammed Abdo and Noordin, Nor Kamariah and Mohd Ali, Borhanuddin and Khatun, Sabira and Ismail, Mahamod (2008) RLS channel estimation and tracking for MIMO-extended IEEE 802.11a WLANs. International Journal of Computer Science and Network Security, 8 (2). pp. 251-256. ISSN 1738-7906 http://paper.ijcsns.org/07_book/html/200802/200802034.html |
| spellingShingle | Saeed, Mohammed Abdo Noordin, Nor Kamariah Mohd Ali, Borhanuddin Khatun, Sabira Ismail, Mahamod RLS channel estimation and tracking for MIMO-extended IEEE 802.11a WLANs |
| title | RLS channel estimation and tracking for MIMO-extended IEEE 802.11a WLANs |
| title_full | RLS channel estimation and tracking for MIMO-extended IEEE 802.11a WLANs |
| title_fullStr | RLS channel estimation and tracking for MIMO-extended IEEE 802.11a WLANs |
| title_full_unstemmed | RLS channel estimation and tracking for MIMO-extended IEEE 802.11a WLANs |
| title_short | RLS channel estimation and tracking for MIMO-extended IEEE 802.11a WLANs |
| title_sort | rls channel estimation and tracking for mimo-extended ieee 802.11a wlans |
| url | http://psasir.upm.edu.my/id/eprint/16583/ http://psasir.upm.edu.my/id/eprint/16583/ http://psasir.upm.edu.my/id/eprint/16583/1/RLS%20channel%20estimation%20and%20tracking%20for%20MIMO-extended%20IEEE%20802.11a%20WLANs.pdf |