IEICE TRANSACTIONS on Communications
A New Blind Equalization Method Based on Negentropy Minimization for Constant Modulus Signals
Summary :
A new blind adaptive equalization method for constant modulus signals based on minimizing the approximate negentropy of the estimation error for a finite-length equalizer is presented. We consider the approximate negentropy using nonpolynomial expansions of the estimation error as a new performance criterion to improve the performance of a linear equalizer using the conventional constant modulus algorithm (CMA). Negentropy includes higher order statistical information and its minimization provides improved convergence, performance, and accuracy compared to traditional methods, such as the CMA, in terms of the bit error rate (BER). Also, the proposed equalizer shows faster convergence characteristics than the CMA equalizer and is more robust to nonlinear distortion than the CMA equalizer.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.4 pp.1207-1210
- Publication Date
- 2008/04/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.4.1207
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Sooyong CHOI, Jong-Moon CHUNG, Wun-Cheol JEONG, "A New Blind Equalization Method Based on Negentropy Minimization for Constant Modulus Signals" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 4, pp. 1207-1210, April 2008, doi: 10.1093/ietcom/e91-b.4.1207.
Abstract: A new blind adaptive equalization method for constant modulus signals based on minimizing the approximate negentropy of the estimation error for a finite-length equalizer is presented. We consider the approximate negentropy using nonpolynomial expansions of the estimation error as a new performance criterion to improve the performance of a linear equalizer using the conventional constant modulus algorithm (CMA). Negentropy includes higher order statistical information and its minimization provides improved convergence, performance, and accuracy compared to traditional methods, such as the CMA, in terms of the bit error rate (BER). Also, the proposed equalizer shows faster convergence characteristics than the CMA equalizer and is more robust to nonlinear distortion than the CMA equalizer.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.4.1207/_p
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@ARTICLE{e91-b_4_1207,
author={Sooyong CHOI, Jong-Moon CHUNG, Wun-Cheol JEONG, },
journal={IEICE TRANSACTIONS on Communications},
title={A New Blind Equalization Method Based on Negentropy Minimization for Constant Modulus Signals},
year={2008},
volume={E91-B},
number={4},
pages={1207-1210},
abstract={A new blind adaptive equalization method for constant modulus signals based on minimizing the approximate negentropy of the estimation error for a finite-length equalizer is presented. We consider the approximate negentropy using nonpolynomial expansions of the estimation error as a new performance criterion to improve the performance of a linear equalizer using the conventional constant modulus algorithm (CMA). Negentropy includes higher order statistical information and its minimization provides improved convergence, performance, and accuracy compared to traditional methods, such as the CMA, in terms of the bit error rate (BER). Also, the proposed equalizer shows faster convergence characteristics than the CMA equalizer and is more robust to nonlinear distortion than the CMA equalizer.},
keywords={},
doi={10.1093/ietcom/e91-b.4.1207},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - A New Blind Equalization Method Based on Negentropy Minimization for Constant Modulus Signals
T2 - IEICE TRANSACTIONS on Communications
SP - 1207
EP - 1210
AU - Sooyong CHOI
AU - Jong-Moon CHUNG
AU - Wun-Cheol JEONG
PY - 2008
DO - 10.1093/ietcom/e91-b.4.1207
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2008
AB - A new blind adaptive equalization method for constant modulus signals based on minimizing the approximate negentropy of the estimation error for a finite-length equalizer is presented. We consider the approximate negentropy using nonpolynomial expansions of the estimation error as a new performance criterion to improve the performance of a linear equalizer using the conventional constant modulus algorithm (CMA). Negentropy includes higher order statistical information and its minimization provides improved convergence, performance, and accuracy compared to traditional methods, such as the CMA, in terms of the bit error rate (BER). Also, the proposed equalizer shows faster convergence characteristics than the CMA equalizer and is more robust to nonlinear distortion than the CMA equalizer.
ER -
English
