IEICE TRANSACTIONS on Communications
A Novel Two-Stage Channel Estimation Method for Wireless Communications
Summary :
In this paper, we proposed a novel two-stage channel estimation (2S-CE) method. In contrast to conventional channel estimation methods, this method makes the maximum use of the information contributed by the known data in every transmission burst. In the first stage, the least-squares (LS) algorithm was used to estimate the channel impulse response (CIR) based on the normal training sequence. Then the maximum channel memory was estimated and used to locate the uncorrupted data in the guard interval. In the second stage, the uncorrupted data together with the normal training sequence were sent to the LS algorithm again to obtain the fine-tuned CIR. To verify the efficiency of the proposed 2S-CE method, both a theoretical analysis and computer simulations have been done. Computer simulation results confirm the analysis results and demonstrate that the proposed 2S-CE method outperforms a conventional single-stage channel estimation method.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E87-B No.6 pp.1479-1486
- Publication Date
- 2004/06/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technology
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Wei-Jian LIN, Tsui-Tsai LIN, Chia-Chi HUANG, "A Novel Two-Stage Channel Estimation Method for Wireless Communications" in IEICE TRANSACTIONS on Communications,
vol. E87-B, no. 6, pp. 1479-1486, June 2004, doi: .
Abstract: In this paper, we proposed a novel two-stage channel estimation (2S-CE) method. In contrast to conventional channel estimation methods, this method makes the maximum use of the information contributed by the known data in every transmission burst. In the first stage, the least-squares (LS) algorithm was used to estimate the channel impulse response (CIR) based on the normal training sequence. Then the maximum channel memory was estimated and used to locate the uncorrupted data in the guard interval. In the second stage, the uncorrupted data together with the normal training sequence were sent to the LS algorithm again to obtain the fine-tuned CIR. To verify the efficiency of the proposed 2S-CE method, both a theoretical analysis and computer simulations have been done. Computer simulation results confirm the analysis results and demonstrate that the proposed 2S-CE method outperforms a conventional single-stage channel estimation method.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e87-b_6_1479/_p
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@ARTICLE{e87-b_6_1479,
author={Wei-Jian LIN, Tsui-Tsai LIN, Chia-Chi HUANG, },
journal={IEICE TRANSACTIONS on Communications},
title={A Novel Two-Stage Channel Estimation Method for Wireless Communications},
year={2004},
volume={E87-B},
number={6},
pages={1479-1486},
abstract={In this paper, we proposed a novel two-stage channel estimation (2S-CE) method. In contrast to conventional channel estimation methods, this method makes the maximum use of the information contributed by the known data in every transmission burst. In the first stage, the least-squares (LS) algorithm was used to estimate the channel impulse response (CIR) based on the normal training sequence. Then the maximum channel memory was estimated and used to locate the uncorrupted data in the guard interval. In the second stage, the uncorrupted data together with the normal training sequence were sent to the LS algorithm again to obtain the fine-tuned CIR. To verify the efficiency of the proposed 2S-CE method, both a theoretical analysis and computer simulations have been done. Computer simulation results confirm the analysis results and demonstrate that the proposed 2S-CE method outperforms a conventional single-stage channel estimation method.},
keywords={},
doi={},
ISSN={},
month={June},}
Copy
TY - JOUR
TI - A Novel Two-Stage Channel Estimation Method for Wireless Communications
T2 - IEICE TRANSACTIONS on Communications
SP - 1479
EP - 1486
AU - Wei-Jian LIN
AU - Tsui-Tsai LIN
AU - Chia-Chi HUANG
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E87-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2004
AB - In this paper, we proposed a novel two-stage channel estimation (2S-CE) method. In contrast to conventional channel estimation methods, this method makes the maximum use of the information contributed by the known data in every transmission burst. In the first stage, the least-squares (LS) algorithm was used to estimate the channel impulse response (CIR) based on the normal training sequence. Then the maximum channel memory was estimated and used to locate the uncorrupted data in the guard interval. In the second stage, the uncorrupted data together with the normal training sequence were sent to the LS algorithm again to obtain the fine-tuned CIR. To verify the efficiency of the proposed 2S-CE method, both a theoretical analysis and computer simulations have been done. Computer simulation results confirm the analysis results and demonstrate that the proposed 2S-CE method outperforms a conventional single-stage channel estimation method.
ER -
English
