IEICE TRANSACTIONS on Communications
Blind Adaptive Equalizer Based on CMA and LMS Algorithm
Summary :
In this letter we verify that a blind adaptive algorithm operating at a low intermediate frequency (Low-IF) can be applied to a system where carrier phase synchronization has not been achieved. We consider a quadrature amplitude shift keyed (QPSK) signal as the transmitted signal, and assume that the orthogonal low intermediate sinusoidal frequency used to generate the transmitted signal is well known. The proposed algorithm combines two algorithms: Namely, the least mean square (LMS) algorithm which has a cost function with unique minimum, and the constant modulus algorithm (CMA), which was first proposed by Godard. By doing this and operating the equalizer at a rate greater than the symbol rate, we take advantage of the variable amplitude of the sub-carriers and the fast convergence of LMS algorithm, so as to achieve a faster convergence speed. When the computer simulation results of the proposed algorithm are compared with the constant modulus algorithm (CMA) and the modified CMA (MCMA), we observed that the proposed algorithm exhibited a faster convergence speed.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E87-B No.4 pp.1012-1015
- Publication Date
- 2004/04/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Fundamental Theories
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James OKELLO, Kenji UEDA, Hiroshi OCHI, "Blind Adaptive Equalizer Based on CMA and LMS Algorithm" in IEICE TRANSACTIONS on Communications,
vol. E87-B, no. 4, pp. 1012-1015, April 2004, doi: .
Abstract: In this letter we verify that a blind adaptive algorithm operating at a low intermediate frequency (Low-IF) can be applied to a system where carrier phase synchronization has not been achieved. We consider a quadrature amplitude shift keyed (QPSK) signal as the transmitted signal, and assume that the orthogonal low intermediate sinusoidal frequency used to generate the transmitted signal is well known. The proposed algorithm combines two algorithms: Namely, the least mean square (LMS) algorithm which has a cost function with unique minimum, and the constant modulus algorithm (CMA), which was first proposed by Godard. By doing this and operating the equalizer at a rate greater than the symbol rate, we take advantage of the variable amplitude of the sub-carriers and the fast convergence of LMS algorithm, so as to achieve a faster convergence speed. When the computer simulation results of the proposed algorithm are compared with the constant modulus algorithm (CMA) and the modified CMA (MCMA), we observed that the proposed algorithm exhibited a faster convergence speed.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e87-b_4_1012/_p
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@ARTICLE{e87-b_4_1012,
author={James OKELLO, Kenji UEDA, Hiroshi OCHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Blind Adaptive Equalizer Based on CMA and LMS Algorithm},
year={2004},
volume={E87-B},
number={4},
pages={1012-1015},
abstract={In this letter we verify that a blind adaptive algorithm operating at a low intermediate frequency (Low-IF) can be applied to a system where carrier phase synchronization has not been achieved. We consider a quadrature amplitude shift keyed (QPSK) signal as the transmitted signal, and assume that the orthogonal low intermediate sinusoidal frequency used to generate the transmitted signal is well known. The proposed algorithm combines two algorithms: Namely, the least mean square (LMS) algorithm which has a cost function with unique minimum, and the constant modulus algorithm (CMA), which was first proposed by Godard. By doing this and operating the equalizer at a rate greater than the symbol rate, we take advantage of the variable amplitude of the sub-carriers and the fast convergence of LMS algorithm, so as to achieve a faster convergence speed. When the computer simulation results of the proposed algorithm are compared with the constant modulus algorithm (CMA) and the modified CMA (MCMA), we observed that the proposed algorithm exhibited a faster convergence speed.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - Blind Adaptive Equalizer Based on CMA and LMS Algorithm
T2 - IEICE TRANSACTIONS on Communications
SP - 1012
EP - 1015
AU - James OKELLO
AU - Kenji UEDA
AU - Hiroshi OCHI
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E87-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2004
AB - In this letter we verify that a blind adaptive algorithm operating at a low intermediate frequency (Low-IF) can be applied to a system where carrier phase synchronization has not been achieved. We consider a quadrature amplitude shift keyed (QPSK) signal as the transmitted signal, and assume that the orthogonal low intermediate sinusoidal frequency used to generate the transmitted signal is well known. The proposed algorithm combines two algorithms: Namely, the least mean square (LMS) algorithm which has a cost function with unique minimum, and the constant modulus algorithm (CMA), which was first proposed by Godard. By doing this and operating the equalizer at a rate greater than the symbol rate, we take advantage of the variable amplitude of the sub-carriers and the fast convergence of LMS algorithm, so as to achieve a faster convergence speed. When the computer simulation results of the proposed algorithm are compared with the constant modulus algorithm (CMA) and the modified CMA (MCMA), we observed that the proposed algorithm exhibited a faster convergence speed.
ER -
English
