IEICE TRANSACTIONS on Fundamentals
Channel Parameter Tracking for Adaptive MMSE Channel Estimation in OFDM Systems
Summary :
In this paper, we propose low complexity channel parameter tracking methods for adaptive OFDM MMSE channel estimation. Even though the MMSE estimation is one of the most accurate channel estimation methods, it requires several channel information including Doppler frequency, RMS (root mean squared) delay spread, and SNR. To implement the MMSE estimation, tracking of such parameters should be preceded. We propose methods to track the above 3 channel parameters. As for Doppler frequency estimation, we propose an extremum method with a parabolic model, which is a key contribution of this paper. We also analyze the computational complexity of the proposed algorithms. Simulations show that the proposed tracking algorithm tracks the parameters well, and performs better than the conventional fixed-parameter algorithm in terms of BER performance. The BER performance of the adaptive MMSE estimation is better than that of a fixed-parameter (robust) MMSE estimator by about 5 dB.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.8 pp.1439-1443
- Publication Date
- 2012/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E95.A.1439
- Type of Manuscript
- LETTER
- Category
- Mobile Information Network and Personal Communications
Authors
Keyword
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Kyowon JEONG, Jungwoo LEE, "Channel Parameter Tracking for Adaptive MMSE Channel Estimation in OFDM Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E95-A, no. 8, pp. 1439-1443, August 2012, doi: 10.1587/transfun.E95.A.1439.
Abstract: In this paper, we propose low complexity channel parameter tracking methods for adaptive OFDM MMSE channel estimation. Even though the MMSE estimation is one of the most accurate channel estimation methods, it requires several channel information including Doppler frequency, RMS (root mean squared) delay spread, and SNR. To implement the MMSE estimation, tracking of such parameters should be preceded. We propose methods to track the above 3 channel parameters. As for Doppler frequency estimation, we propose an extremum method with a parabolic model, which is a key contribution of this paper. We also analyze the computational complexity of the proposed algorithms. Simulations show that the proposed tracking algorithm tracks the parameters well, and performs better than the conventional fixed-parameter algorithm in terms of BER performance. The BER performance of the adaptive MMSE estimation is better than that of a fixed-parameter (robust) MMSE estimator by about 5 dB.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.1439/_p
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@ARTICLE{e95-a_8_1439,
author={Kyowon JEONG, Jungwoo LEE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Channel Parameter Tracking for Adaptive MMSE Channel Estimation in OFDM Systems},
year={2012},
volume={E95-A},
number={8},
pages={1439-1443},
abstract={In this paper, we propose low complexity channel parameter tracking methods for adaptive OFDM MMSE channel estimation. Even though the MMSE estimation is one of the most accurate channel estimation methods, it requires several channel information including Doppler frequency, RMS (root mean squared) delay spread, and SNR. To implement the MMSE estimation, tracking of such parameters should be preceded. We propose methods to track the above 3 channel parameters. As for Doppler frequency estimation, we propose an extremum method with a parabolic model, which is a key contribution of this paper. We also analyze the computational complexity of the proposed algorithms. Simulations show that the proposed tracking algorithm tracks the parameters well, and performs better than the conventional fixed-parameter algorithm in terms of BER performance. The BER performance of the adaptive MMSE estimation is better than that of a fixed-parameter (robust) MMSE estimator by about 5 dB.},
keywords={},
doi={10.1587/transfun.E95.A.1439},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - Channel Parameter Tracking for Adaptive MMSE Channel Estimation in OFDM Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1439
EP - 1443
AU - Kyowon JEONG
AU - Jungwoo LEE
PY - 2012
DO - 10.1587/transfun.E95.A.1439
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2012
AB - In this paper, we propose low complexity channel parameter tracking methods for adaptive OFDM MMSE channel estimation. Even though the MMSE estimation is one of the most accurate channel estimation methods, it requires several channel information including Doppler frequency, RMS (root mean squared) delay spread, and SNR. To implement the MMSE estimation, tracking of such parameters should be preceded. We propose methods to track the above 3 channel parameters. As for Doppler frequency estimation, we propose an extremum method with a parabolic model, which is a key contribution of this paper. We also analyze the computational complexity of the proposed algorithms. Simulations show that the proposed tracking algorithm tracks the parameters well, and performs better than the conventional fixed-parameter algorithm in terms of BER performance. The BER performance of the adaptive MMSE estimation is better than that of a fixed-parameter (robust) MMSE estimator by about 5 dB.
ER -
English
