IEICE TRANSACTIONS on Communications
Channel Estimation and Interference Cancellation for MIMO-OFDM Systems
Summary :
This paper proposes a new channel estimation method and a new interference cancellation scheme for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems in the presence of intersymbol interference (ISI). The proposed channel estimation method uses special training sequences (TSs) to have a desirable crest-factor of the transmitted training signal, and to prevent the influence of ISI on the channel estimation performance. By using the recommended training sequences, the ill-conditioned problem of the least square (LS) filter integrated in the proposed channel estimator can be avoided. The proposed interference cancellation scheme uses the estimated channel coefficients and the channel state information (CSI) to reproduce the interference components, which are then iteratively cancelled from the received signals. To reduced the error-floor of the demodulated symbols using for the calculations of the interference components, the so-called remodulation technique is also included in the proposed interference cancellation scheme. Simulation results show that the proposed channel estimation method outperforms conventional channel estimation methods, especially in the presence of ISI and if the signal-to-noise ratio (SNR) is larger than 15 dB. The combination of the proposed method with a space-time block code (STBC) to combat the interference influences results in an excellent system performance in terms of symbol error ratio (SER). In comparison with a STBC MIMO-OFDM system with sufficient guard interval (GI), this combination gains 1.52 dB of SNR at the same SER of 1.1・10-6 even after performing only one iteration of interference cancellation.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E90-B No.2 pp.277-290
- Publication Date
- 2007/02/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e90-b.2.277
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Van-Duc NGUYEN, Matthias PATZOLD, Fumiaki MAEHARA, Harald HAAS, Minh-Viet PHAM, "Channel Estimation and Interference Cancellation for MIMO-OFDM Systems" in IEICE TRANSACTIONS on Communications,
vol. E90-B, no. 2, pp. 277-290, February 2007, doi: 10.1093/ietcom/e90-b.2.277.
Abstract: This paper proposes a new channel estimation method and a new interference cancellation scheme for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems in the presence of intersymbol interference (ISI). The proposed channel estimation method uses special training sequences (TSs) to have a desirable crest-factor of the transmitted training signal, and to prevent the influence of ISI on the channel estimation performance. By using the recommended training sequences, the ill-conditioned problem of the least square (LS) filter integrated in the proposed channel estimator can be avoided. The proposed interference cancellation scheme uses the estimated channel coefficients and the channel state information (CSI) to reproduce the interference components, which are then iteratively cancelled from the received signals. To reduced the error-floor of the demodulated symbols using for the calculations of the interference components, the so-called remodulation technique is also included in the proposed interference cancellation scheme. Simulation results show that the proposed channel estimation method outperforms conventional channel estimation methods, especially in the presence of ISI and if the signal-to-noise ratio (SNR) is larger than 15 dB. The combination of the proposed method with a space-time block code (STBC) to combat the interference influences results in an excellent system performance in terms of symbol error ratio (SER). In comparison with a STBC MIMO-OFDM system with sufficient guard interval (GI), this combination gains 1.52 dB of SNR at the same SER of 1.1・10-6 even after performing only one iteration of interference cancellation.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.2.277/_p
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@ARTICLE{e90-b_2_277,
author={Van-Duc NGUYEN, Matthias PATZOLD, Fumiaki MAEHARA, Harald HAAS, Minh-Viet PHAM, },
journal={IEICE TRANSACTIONS on Communications},
title={Channel Estimation and Interference Cancellation for MIMO-OFDM Systems},
year={2007},
volume={E90-B},
number={2},
pages={277-290},
abstract={This paper proposes a new channel estimation method and a new interference cancellation scheme for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems in the presence of intersymbol interference (ISI). The proposed channel estimation method uses special training sequences (TSs) to have a desirable crest-factor of the transmitted training signal, and to prevent the influence of ISI on the channel estimation performance. By using the recommended training sequences, the ill-conditioned problem of the least square (LS) filter integrated in the proposed channel estimator can be avoided. The proposed interference cancellation scheme uses the estimated channel coefficients and the channel state information (CSI) to reproduce the interference components, which are then iteratively cancelled from the received signals. To reduced the error-floor of the demodulated symbols using for the calculations of the interference components, the so-called remodulation technique is also included in the proposed interference cancellation scheme. Simulation results show that the proposed channel estimation method outperforms conventional channel estimation methods, especially in the presence of ISI and if the signal-to-noise ratio (SNR) is larger than 15 dB. The combination of the proposed method with a space-time block code (STBC) to combat the interference influences results in an excellent system performance in terms of symbol error ratio (SER). In comparison with a STBC MIMO-OFDM system with sufficient guard interval (GI), this combination gains 1.52 dB of SNR at the same SER of 1.1・10-6 even after performing only one iteration of interference cancellation.},
keywords={},
doi={10.1093/ietcom/e90-b.2.277},
ISSN={1745-1345},
month={February},}
Copy
TY - JOUR
TI - Channel Estimation and Interference Cancellation for MIMO-OFDM Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 277
EP - 290
AU - Van-Duc NGUYEN
AU - Matthias PATZOLD
AU - Fumiaki MAEHARA
AU - Harald HAAS
AU - Minh-Viet PHAM
PY - 2007
DO - 10.1093/ietcom/e90-b.2.277
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2007
AB - This paper proposes a new channel estimation method and a new interference cancellation scheme for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems in the presence of intersymbol interference (ISI). The proposed channel estimation method uses special training sequences (TSs) to have a desirable crest-factor of the transmitted training signal, and to prevent the influence of ISI on the channel estimation performance. By using the recommended training sequences, the ill-conditioned problem of the least square (LS) filter integrated in the proposed channel estimator can be avoided. The proposed interference cancellation scheme uses the estimated channel coefficients and the channel state information (CSI) to reproduce the interference components, which are then iteratively cancelled from the received signals. To reduced the error-floor of the demodulated symbols using for the calculations of the interference components, the so-called remodulation technique is also included in the proposed interference cancellation scheme. Simulation results show that the proposed channel estimation method outperforms conventional channel estimation methods, especially in the presence of ISI and if the signal-to-noise ratio (SNR) is larger than 15 dB. The combination of the proposed method with a space-time block code (STBC) to combat the interference influences results in an excellent system performance in terms of symbol error ratio (SER). In comparison with a STBC MIMO-OFDM system with sufficient guard interval (GI), this combination gains 1.52 dB of SNR at the same SER of 1.1・10-6 even after performing only one iteration of interference cancellation.
ER -
English
