IEICE TRANSACTIONS on Communications
Blind Frequency Offset Estimation Using Adaptive Step-Size LMS Algorithm for OFDM Communications
Summary :
In this Letter, we propose a least mean square (LMS) with adaptive step-size (AS) algorithm for adaptive blind carrier frequency offset (CFO) estimation in the orthogonal frequency division multiplexing system. In conjunction with the closed-loop estimate structure, the proposed algorithm eliminates the inter-carrier interference caused by time varying CFO. To improve the convergence performance of the fixed step-size LMS estimator, the regular AS LMS algorithm offers faster convergence speed and more accuracy to the CFO estimate. Several computer simulation examples are presented for illustrating the effectiveness of the proposed algorithm.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E90-B No.5 pp.1274-1277
- Publication Date
- 2007/05/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e90-b.5.1274
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Chiao-Chan HUANG, Ann-Chen CHANG, Ing-Jiunn SU, "Blind Frequency Offset Estimation Using Adaptive Step-Size LMS Algorithm for OFDM Communications" in IEICE TRANSACTIONS on Communications,
vol. E90-B, no. 5, pp. 1274-1277, May 2007, doi: 10.1093/ietcom/e90-b.5.1274.
Abstract: In this Letter, we propose a least mean square (LMS) with adaptive step-size (AS) algorithm for adaptive blind carrier frequency offset (CFO) estimation in the orthogonal frequency division multiplexing system. In conjunction with the closed-loop estimate structure, the proposed algorithm eliminates the inter-carrier interference caused by time varying CFO. To improve the convergence performance of the fixed step-size LMS estimator, the regular AS LMS algorithm offers faster convergence speed and more accuracy to the CFO estimate. Several computer simulation examples are presented for illustrating the effectiveness of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.5.1274/_p
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@ARTICLE{e90-b_5_1274,
author={Chiao-Chan HUANG, Ann-Chen CHANG, Ing-Jiunn SU, },
journal={IEICE TRANSACTIONS on Communications},
title={Blind Frequency Offset Estimation Using Adaptive Step-Size LMS Algorithm for OFDM Communications},
year={2007},
volume={E90-B},
number={5},
pages={1274-1277},
abstract={In this Letter, we propose a least mean square (LMS) with adaptive step-size (AS) algorithm for adaptive blind carrier frequency offset (CFO) estimation in the orthogonal frequency division multiplexing system. In conjunction with the closed-loop estimate structure, the proposed algorithm eliminates the inter-carrier interference caused by time varying CFO. To improve the convergence performance of the fixed step-size LMS estimator, the regular AS LMS algorithm offers faster convergence speed and more accuracy to the CFO estimate. Several computer simulation examples are presented for illustrating the effectiveness of the proposed algorithm.},
keywords={},
doi={10.1093/ietcom/e90-b.5.1274},
ISSN={1745-1345},
month={May},}
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TY - JOUR
TI - Blind Frequency Offset Estimation Using Adaptive Step-Size LMS Algorithm for OFDM Communications
T2 - IEICE TRANSACTIONS on Communications
SP - 1274
EP - 1277
AU - Chiao-Chan HUANG
AU - Ann-Chen CHANG
AU - Ing-Jiunn SU
PY - 2007
DO - 10.1093/ietcom/e90-b.5.1274
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2007
AB - In this Letter, we propose a least mean square (LMS) with adaptive step-size (AS) algorithm for adaptive blind carrier frequency offset (CFO) estimation in the orthogonal frequency division multiplexing system. In conjunction with the closed-loop estimate structure, the proposed algorithm eliminates the inter-carrier interference caused by time varying CFO. To improve the convergence performance of the fixed step-size LMS estimator, the regular AS LMS algorithm offers faster convergence speed and more accuracy to the CFO estimate. Several computer simulation examples are presented for illustrating the effectiveness of the proposed algorithm.
ER -
English
