Time-Domain LMMSE Channel Estimator Based on Sliding Window for OFDM Systems in High-Mobility Situations
Recently, wideband orthogonal frequency-division multiplexing (OFDM)-based systems such as Long-Term Evolution (LTE) have been proposed for future railway communication systems. In such high-speed situations, Doppler phenomena, related to the terminal's high speed, affects the use of OFDM syste...
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| Autor*in: |
Kalakech, Ali [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on vehicular technology - New York, NY : IEEE, 1967, 64(2015), 12, Seite 5728-5740 |
|---|---|
| Übergeordnetes Werk: |
volume:64 ; year:2015 ; number:12 ; pages:5728-5740 |
| Links: |
|---|
| DOI / URN: |
10.1109/TVT.2014.2387255 |
|---|
| Katalog-ID: |
OLC1964441277 |
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| 245 | 1 | 0 | |a Time-Domain LMMSE Channel Estimator Based on Sliding Window for OFDM Systems in High-Mobility Situations |
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| 520 | |a Recently, wideband orthogonal frequency-division multiplexing (OFDM)-based systems such as Long-Term Evolution (LTE) have been proposed for future railway communication systems. In such high-speed situations, Doppler phenomena, related to the terminal's high speed, affects the use of OFDM systems by producing a loss of orthogonality between different carriers. Thus, the channel estimation and equalization become a challenging problem, particularly when the number of pilot carriers is limited. This paper investigates the use of time-domain channel estimation for OFDM systems in high-speed scenarios and for a sparse pilot distribution. A time-domain linear minimum mean square error (TD-LMMSE) filter is designed for channel estimation. The TD-LMMSE emulates the effect of a sliding window and takes into consideration the interference caused by the data field. The expression of the MSE of linear estimators is also developed. Furthermore, a simple technique for the estimation of the second-order channel statistics is proposed. Simulation results, showing a significant gain in terms of MSE and bit error rate, compared with other state-of-the-art algorithms, are reported over a wide signal-to-noise ratio (SNR) range. | ||
| 650 | 4 | |a Frequency-domain analysis | |
| 650 | 4 | |a Channel estimation | |
| 650 | 4 | |a OFDM | |
| 650 | 4 | |a LMMSE filter | |
| 650 | 4 | |a Time-domain analysis | |
| 650 | 4 | |a Vectors | |
| 650 | 4 | |a Estimation | |
| 650 | 4 | |a Correlation | |
| 650 | 4 | |a timevarying channels | |
| 650 | 4 | |a Mean square errors | |
| 700 | 1 | |a Berbineau, Marion |4 oth | |
| 700 | 1 | |a Dayoub, Iyad |4 oth | |
| 700 | 1 | |a Simon, Eric Pierre |4 oth | |
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10.1109/TVT.2014.2387255 doi PQ20160617 (DE-627)OLC1964441277 (DE-599)GBVOLC1964441277 (PRQ)c985-8666e910947052838d3d710cfb7ee7cc3d9e5372921c075e07ac2de69716351b0 (KEY)0030991520150000064001205728timedomainlmmsechannelestimatorbasedonslidingwindo DE-627 ger DE-627 rakwb eng 620 DNB 53.70 bkl 53.74 bkl Kalakech, Ali verfasserin aut Time-Domain LMMSE Channel Estimator Based on Sliding Window for OFDM Systems in High-Mobility Situations 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recently, wideband orthogonal frequency-division multiplexing (OFDM)-based systems such as Long-Term Evolution (LTE) have been proposed for future railway communication systems. In such high-speed situations, Doppler phenomena, related to the terminal's high speed, affects the use of OFDM systems by producing a loss of orthogonality between different carriers. Thus, the channel estimation and equalization become a challenging problem, particularly when the number of pilot carriers is limited. This paper investigates the use of time-domain channel estimation for OFDM systems in high-speed scenarios and for a sparse pilot distribution. A time-domain linear minimum mean square error (TD-LMMSE) filter is designed for channel estimation. The TD-LMMSE emulates the effect of a sliding window and takes into consideration the interference caused by the data field. The expression of the MSE of linear estimators is also developed. Furthermore, a simple technique for the estimation of the second-order channel statistics is proposed. Simulation results, showing a significant gain in terms of MSE and bit error rate, compared with other state-of-the-art algorithms, are reported over a wide signal-to-noise ratio (SNR) range. Frequency-domain analysis Channel estimation OFDM LMMSE filter Time-domain analysis Vectors Estimation Correlation timevarying channels Mean square errors Berbineau, Marion oth Dayoub, Iyad oth Simon, Eric Pierre oth Enthalten in IEEE transactions on vehicular technology New York, NY : IEEE, 1967 64(2015), 12, Seite 5728-5740 (DE-627)129358584 (DE-600)160444-2 (DE-576)014730871 0018-9545 nnns volume:64 year:2015 number:12 pages:5728-5740 http://dx.doi.org/10.1109/TVT.2014.2387255 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7001048 http://search.proquest.com/docview/1750085585 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 53.70 AVZ 53.74 AVZ AR 64 2015 12 5728-5740 |
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10.1109/TVT.2014.2387255 doi PQ20160617 (DE-627)OLC1964441277 (DE-599)GBVOLC1964441277 (PRQ)c985-8666e910947052838d3d710cfb7ee7cc3d9e5372921c075e07ac2de69716351b0 (KEY)0030991520150000064001205728timedomainlmmsechannelestimatorbasedonslidingwindo DE-627 ger DE-627 rakwb eng 620 DNB 53.70 bkl 53.74 bkl Kalakech, Ali verfasserin aut Time-Domain LMMSE Channel Estimator Based on Sliding Window for OFDM Systems in High-Mobility Situations 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recently, wideband orthogonal frequency-division multiplexing (OFDM)-based systems such as Long-Term Evolution (LTE) have been proposed for future railway communication systems. In such high-speed situations, Doppler phenomena, related to the terminal's high speed, affects the use of OFDM systems by producing a loss of orthogonality between different carriers. Thus, the channel estimation and equalization become a challenging problem, particularly when the number of pilot carriers is limited. This paper investigates the use of time-domain channel estimation for OFDM systems in high-speed scenarios and for a sparse pilot distribution. A time-domain linear minimum mean square error (TD-LMMSE) filter is designed for channel estimation. The TD-LMMSE emulates the effect of a sliding window and takes into consideration the interference caused by the data field. The expression of the MSE of linear estimators is also developed. Furthermore, a simple technique for the estimation of the second-order channel statistics is proposed. Simulation results, showing a significant gain in terms of MSE and bit error rate, compared with other state-of-the-art algorithms, are reported over a wide signal-to-noise ratio (SNR) range. Frequency-domain analysis Channel estimation OFDM LMMSE filter Time-domain analysis Vectors Estimation Correlation timevarying channels Mean square errors Berbineau, Marion oth Dayoub, Iyad oth Simon, Eric Pierre oth Enthalten in IEEE transactions on vehicular technology New York, NY : IEEE, 1967 64(2015), 12, Seite 5728-5740 (DE-627)129358584 (DE-600)160444-2 (DE-576)014730871 0018-9545 nnns volume:64 year:2015 number:12 pages:5728-5740 http://dx.doi.org/10.1109/TVT.2014.2387255 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7001048 http://search.proquest.com/docview/1750085585 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 53.70 AVZ 53.74 AVZ AR 64 2015 12 5728-5740 |
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10.1109/TVT.2014.2387255 doi PQ20160617 (DE-627)OLC1964441277 (DE-599)GBVOLC1964441277 (PRQ)c985-8666e910947052838d3d710cfb7ee7cc3d9e5372921c075e07ac2de69716351b0 (KEY)0030991520150000064001205728timedomainlmmsechannelestimatorbasedonslidingwindo DE-627 ger DE-627 rakwb eng 620 DNB 53.70 bkl 53.74 bkl Kalakech, Ali verfasserin aut Time-Domain LMMSE Channel Estimator Based on Sliding Window for OFDM Systems in High-Mobility Situations 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recently, wideband orthogonal frequency-division multiplexing (OFDM)-based systems such as Long-Term Evolution (LTE) have been proposed for future railway communication systems. In such high-speed situations, Doppler phenomena, related to the terminal's high speed, affects the use of OFDM systems by producing a loss of orthogonality between different carriers. Thus, the channel estimation and equalization become a challenging problem, particularly when the number of pilot carriers is limited. This paper investigates the use of time-domain channel estimation for OFDM systems in high-speed scenarios and for a sparse pilot distribution. A time-domain linear minimum mean square error (TD-LMMSE) filter is designed for channel estimation. The TD-LMMSE emulates the effect of a sliding window and takes into consideration the interference caused by the data field. The expression of the MSE of linear estimators is also developed. Furthermore, a simple technique for the estimation of the second-order channel statistics is proposed. Simulation results, showing a significant gain in terms of MSE and bit error rate, compared with other state-of-the-art algorithms, are reported over a wide signal-to-noise ratio (SNR) range. Frequency-domain analysis Channel estimation OFDM LMMSE filter Time-domain analysis Vectors Estimation Correlation timevarying channels Mean square errors Berbineau, Marion oth Dayoub, Iyad oth Simon, Eric Pierre oth Enthalten in IEEE transactions on vehicular technology New York, NY : IEEE, 1967 64(2015), 12, Seite 5728-5740 (DE-627)129358584 (DE-600)160444-2 (DE-576)014730871 0018-9545 nnns volume:64 year:2015 number:12 pages:5728-5740 http://dx.doi.org/10.1109/TVT.2014.2387255 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7001048 http://search.proquest.com/docview/1750085585 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 53.70 AVZ 53.74 AVZ AR 64 2015 12 5728-5740 |
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10.1109/TVT.2014.2387255 doi PQ20160617 (DE-627)OLC1964441277 (DE-599)GBVOLC1964441277 (PRQ)c985-8666e910947052838d3d710cfb7ee7cc3d9e5372921c075e07ac2de69716351b0 (KEY)0030991520150000064001205728timedomainlmmsechannelestimatorbasedonslidingwindo DE-627 ger DE-627 rakwb eng 620 DNB 53.70 bkl 53.74 bkl Kalakech, Ali verfasserin aut Time-Domain LMMSE Channel Estimator Based on Sliding Window for OFDM Systems in High-Mobility Situations 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recently, wideband orthogonal frequency-division multiplexing (OFDM)-based systems such as Long-Term Evolution (LTE) have been proposed for future railway communication systems. In such high-speed situations, Doppler phenomena, related to the terminal's high speed, affects the use of OFDM systems by producing a loss of orthogonality between different carriers. Thus, the channel estimation and equalization become a challenging problem, particularly when the number of pilot carriers is limited. This paper investigates the use of time-domain channel estimation for OFDM systems in high-speed scenarios and for a sparse pilot distribution. A time-domain linear minimum mean square error (TD-LMMSE) filter is designed for channel estimation. The TD-LMMSE emulates the effect of a sliding window and takes into consideration the interference caused by the data field. The expression of the MSE of linear estimators is also developed. Furthermore, a simple technique for the estimation of the second-order channel statistics is proposed. Simulation results, showing a significant gain in terms of MSE and bit error rate, compared with other state-of-the-art algorithms, are reported over a wide signal-to-noise ratio (SNR) range. Frequency-domain analysis Channel estimation OFDM LMMSE filter Time-domain analysis Vectors Estimation Correlation timevarying channels Mean square errors Berbineau, Marion oth Dayoub, Iyad oth Simon, Eric Pierre oth Enthalten in IEEE transactions on vehicular technology New York, NY : IEEE, 1967 64(2015), 12, Seite 5728-5740 (DE-627)129358584 (DE-600)160444-2 (DE-576)014730871 0018-9545 nnns volume:64 year:2015 number:12 pages:5728-5740 http://dx.doi.org/10.1109/TVT.2014.2387255 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7001048 http://search.proquest.com/docview/1750085585 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 53.70 AVZ 53.74 AVZ AR 64 2015 12 5728-5740 |
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10.1109/TVT.2014.2387255 doi PQ20160617 (DE-627)OLC1964441277 (DE-599)GBVOLC1964441277 (PRQ)c985-8666e910947052838d3d710cfb7ee7cc3d9e5372921c075e07ac2de69716351b0 (KEY)0030991520150000064001205728timedomainlmmsechannelestimatorbasedonslidingwindo DE-627 ger DE-627 rakwb eng 620 DNB 53.70 bkl 53.74 bkl Kalakech, Ali verfasserin aut Time-Domain LMMSE Channel Estimator Based on Sliding Window for OFDM Systems in High-Mobility Situations 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Recently, wideband orthogonal frequency-division multiplexing (OFDM)-based systems such as Long-Term Evolution (LTE) have been proposed for future railway communication systems. In such high-speed situations, Doppler phenomena, related to the terminal's high speed, affects the use of OFDM systems by producing a loss of orthogonality between different carriers. Thus, the channel estimation and equalization become a challenging problem, particularly when the number of pilot carriers is limited. This paper investigates the use of time-domain channel estimation for OFDM systems in high-speed scenarios and for a sparse pilot distribution. A time-domain linear minimum mean square error (TD-LMMSE) filter is designed for channel estimation. The TD-LMMSE emulates the effect of a sliding window and takes into consideration the interference caused by the data field. The expression of the MSE of linear estimators is also developed. Furthermore, a simple technique for the estimation of the second-order channel statistics is proposed. Simulation results, showing a significant gain in terms of MSE and bit error rate, compared with other state-of-the-art algorithms, are reported over a wide signal-to-noise ratio (SNR) range. Frequency-domain analysis Channel estimation OFDM LMMSE filter Time-domain analysis Vectors Estimation Correlation timevarying channels Mean square errors Berbineau, Marion oth Dayoub, Iyad oth Simon, Eric Pierre oth Enthalten in IEEE transactions on vehicular technology New York, NY : IEEE, 1967 64(2015), 12, Seite 5728-5740 (DE-627)129358584 (DE-600)160444-2 (DE-576)014730871 0018-9545 nnns volume:64 year:2015 number:12 pages:5728-5740 http://dx.doi.org/10.1109/TVT.2014.2387255 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7001048 http://search.proquest.com/docview/1750085585 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2061 53.70 AVZ 53.74 AVZ AR 64 2015 12 5728-5740 |
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620 DNB 53.70 bkl 53.74 bkl Time-Domain LMMSE Channel Estimator Based on Sliding Window for OFDM Systems in High-Mobility Situations Frequency-domain analysis Channel estimation OFDM LMMSE filter Time-domain analysis Vectors Estimation Correlation timevarying channels Mean square errors |
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time-domain lmmse channel estimator based on sliding window for ofdm systems in high-mobility situations |
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Time-Domain LMMSE Channel Estimator Based on Sliding Window for OFDM Systems in High-Mobility Situations |
| abstract |
Recently, wideband orthogonal frequency-division multiplexing (OFDM)-based systems such as Long-Term Evolution (LTE) have been proposed for future railway communication systems. In such high-speed situations, Doppler phenomena, related to the terminal's high speed, affects the use of OFDM systems by producing a loss of orthogonality between different carriers. Thus, the channel estimation and equalization become a challenging problem, particularly when the number of pilot carriers is limited. This paper investigates the use of time-domain channel estimation for OFDM systems in high-speed scenarios and for a sparse pilot distribution. A time-domain linear minimum mean square error (TD-LMMSE) filter is designed for channel estimation. The TD-LMMSE emulates the effect of a sliding window and takes into consideration the interference caused by the data field. The expression of the MSE of linear estimators is also developed. Furthermore, a simple technique for the estimation of the second-order channel statistics is proposed. Simulation results, showing a significant gain in terms of MSE and bit error rate, compared with other state-of-the-art algorithms, are reported over a wide signal-to-noise ratio (SNR) range. |
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Recently, wideband orthogonal frequency-division multiplexing (OFDM)-based systems such as Long-Term Evolution (LTE) have been proposed for future railway communication systems. In such high-speed situations, Doppler phenomena, related to the terminal's high speed, affects the use of OFDM systems by producing a loss of orthogonality between different carriers. Thus, the channel estimation and equalization become a challenging problem, particularly when the number of pilot carriers is limited. This paper investigates the use of time-domain channel estimation for OFDM systems in high-speed scenarios and for a sparse pilot distribution. A time-domain linear minimum mean square error (TD-LMMSE) filter is designed for channel estimation. The TD-LMMSE emulates the effect of a sliding window and takes into consideration the interference caused by the data field. The expression of the MSE of linear estimators is also developed. Furthermore, a simple technique for the estimation of the second-order channel statistics is proposed. Simulation results, showing a significant gain in terms of MSE and bit error rate, compared with other state-of-the-art algorithms, are reported over a wide signal-to-noise ratio (SNR) range. |
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Recently, wideband orthogonal frequency-division multiplexing (OFDM)-based systems such as Long-Term Evolution (LTE) have been proposed for future railway communication systems. In such high-speed situations, Doppler phenomena, related to the terminal's high speed, affects the use of OFDM systems by producing a loss of orthogonality between different carriers. Thus, the channel estimation and equalization become a challenging problem, particularly when the number of pilot carriers is limited. This paper investigates the use of time-domain channel estimation for OFDM systems in high-speed scenarios and for a sparse pilot distribution. A time-domain linear minimum mean square error (TD-LMMSE) filter is designed for channel estimation. The TD-LMMSE emulates the effect of a sliding window and takes into consideration the interference caused by the data field. The expression of the MSE of linear estimators is also developed. Furthermore, a simple technique for the estimation of the second-order channel statistics is proposed. Simulation results, showing a significant gain in terms of MSE and bit error rate, compared with other state-of-the-art algorithms, are reported over a wide signal-to-noise ratio (SNR) range. |
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Time-Domain LMMSE Channel Estimator Based on Sliding Window for OFDM Systems in High-Mobility Situations |
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