IEICE TRANSACTIONS on Fundamentals
Preamble Based Channel and CFO Estimation for MIMO-OFDM Systems with Null Subcarriers
Summary :
In this paper, challenges regarding the provision of channel state information (CSI) and carrier frequency synchronization for orthogonal frequency division multiplexing (OFDM) systems with null subcarriers are addressed. We propose novel maximum likelihood (ML) based schemes that estimate the aggregate effects of the CFO and channel by using two successive OFDM preambles. In the presented scheme, CFO is estimated by considering the phase rotation between two consecutive received OFDM preambles. Both single input single output (SISO) as well as multiple input multiple output (MIMO) OFDM systems are considered. The mean squared errors (MSE) of the channel and CFO are used to evaluate the performance of our proposed scheme. By using two successive OFDM preambles, the estimation of channel and the estimation of CFO are decoupled, which leads to a simple estimation method. Simulation results show that the BER performance of the proposed estimators is comparable to that of known channel state information and the CFO MSE performance achieves the Cramer-Rao bound (CRB) of the fully loaded OFDM system.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E94-A No.11 pp.2271-2278
- Publication Date
- 2011/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E94.A.2271
- Type of Manuscript
- Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)
- Category
- Communication Theory and Signals
Authors
Keyword
OFDM, ML estimation, MIMO, CFO, CRB
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Emmanuel MANASSEH, Shuichi OHNO, Masayoshi NAKAMOTO, "Preamble Based Channel and CFO Estimation for MIMO-OFDM Systems with Null Subcarriers" in IEICE TRANSACTIONS on Fundamentals,
vol. E94-A, no. 11, pp. 2271-2278, November 2011, doi: 10.1587/transfun.E94.A.2271.
Abstract: In this paper, challenges regarding the provision of channel state information (CSI) and carrier frequency synchronization for orthogonal frequency division multiplexing (OFDM) systems with null subcarriers are addressed. We propose novel maximum likelihood (ML) based schemes that estimate the aggregate effects of the CFO and channel by using two successive OFDM preambles. In the presented scheme, CFO is estimated by considering the phase rotation between two consecutive received OFDM preambles. Both single input single output (SISO) as well as multiple input multiple output (MIMO) OFDM systems are considered. The mean squared errors (MSE) of the channel and CFO are used to evaluate the performance of our proposed scheme. By using two successive OFDM preambles, the estimation of channel and the estimation of CFO are decoupled, which leads to a simple estimation method. Simulation results show that the BER performance of the proposed estimators is comparable to that of known channel state information and the CFO MSE performance achieves the Cramer-Rao bound (CRB) of the fully loaded OFDM system.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.2271/_p
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@ARTICLE{e94-a_11_2271,
author={Emmanuel MANASSEH, Shuichi OHNO, Masayoshi NAKAMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Preamble Based Channel and CFO Estimation for MIMO-OFDM Systems with Null Subcarriers},
year={2011},
volume={E94-A},
number={11},
pages={2271-2278},
abstract={In this paper, challenges regarding the provision of channel state information (CSI) and carrier frequency synchronization for orthogonal frequency division multiplexing (OFDM) systems with null subcarriers are addressed. We propose novel maximum likelihood (ML) based schemes that estimate the aggregate effects of the CFO and channel by using two successive OFDM preambles. In the presented scheme, CFO is estimated by considering the phase rotation between two consecutive received OFDM preambles. Both single input single output (SISO) as well as multiple input multiple output (MIMO) OFDM systems are considered. The mean squared errors (MSE) of the channel and CFO are used to evaluate the performance of our proposed scheme. By using two successive OFDM preambles, the estimation of channel and the estimation of CFO are decoupled, which leads to a simple estimation method. Simulation results show that the BER performance of the proposed estimators is comparable to that of known channel state information and the CFO MSE performance achieves the Cramer-Rao bound (CRB) of the fully loaded OFDM system.},
keywords={},
doi={10.1587/transfun.E94.A.2271},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Preamble Based Channel and CFO Estimation for MIMO-OFDM Systems with Null Subcarriers
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2271
EP - 2278
AU - Emmanuel MANASSEH
AU - Shuichi OHNO
AU - Masayoshi NAKAMOTO
PY - 2011
DO - 10.1587/transfun.E94.A.2271
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2011
AB - In this paper, challenges regarding the provision of channel state information (CSI) and carrier frequency synchronization for orthogonal frequency division multiplexing (OFDM) systems with null subcarriers are addressed. We propose novel maximum likelihood (ML) based schemes that estimate the aggregate effects of the CFO and channel by using two successive OFDM preambles. In the presented scheme, CFO is estimated by considering the phase rotation between two consecutive received OFDM preambles. Both single input single output (SISO) as well as multiple input multiple output (MIMO) OFDM systems are considered. The mean squared errors (MSE) of the channel and CFO are used to evaluate the performance of our proposed scheme. By using two successive OFDM preambles, the estimation of channel and the estimation of CFO are decoupled, which leads to a simple estimation method. Simulation results show that the BER performance of the proposed estimators is comparable to that of known channel state information and the CFO MSE performance achieves the Cramer-Rao bound (CRB) of the fully loaded OFDM system.
ER -
English
