Linear Prediction-Based Blind Adaptive Channel Identification and Equalization with Phase Offset Compensation for SIMO Channel
Summary :
In this paper, we propose a blind adaptive channel identification and equalization algorithm with phase offset compensation for single-input multiple-output (SIMO) channel. It is based on the one-step forward multichannel linear prediction error method and can be implemented by an RLS algorithm. Phase offset problem is inherent part of any second-order statistics-based blind identification and equalization. To solve this problem, we use a blind adaptive algorithm called the constant modulus derotator (CMD) algorithm based on constant modulus algorithm (CMA). Moreover, unlike many known subspace (SS) methods or cross relation (CR) methods, our proposed algorithms do not require channel order estimation. Therefore, our algorithms are robust to channel order mismatch.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E86-B No.8 pp.2517-2522
- Publication Date
- 2003/08/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technology
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Kyung Seung AHN, Bong Man AHN, Heung Ki BAIK, "Linear Prediction-Based Blind Adaptive Channel Identification and Equalization with Phase Offset Compensation for SIMO Channel" in IEICE TRANSACTIONS on Communications,
vol. E86-B, no. 8, pp. 2517-2522, August 2003, doi: .
Abstract: In this paper, we propose a blind adaptive channel identification and equalization algorithm with phase offset compensation for single-input multiple-output (SIMO) channel. It is based on the one-step forward multichannel linear prediction error method and can be implemented by an RLS algorithm. Phase offset problem is inherent part of any second-order statistics-based blind identification and equalization. To solve this problem, we use a blind adaptive algorithm called the constant modulus derotator (CMD) algorithm based on constant modulus algorithm (CMA). Moreover, unlike many known subspace (SS) methods or cross relation (CR) methods, our proposed algorithms do not require channel order estimation. Therefore, our algorithms are robust to channel order mismatch.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e86-b_8_2517/_p
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@ARTICLE{e86-b_8_2517,
author={Kyung Seung AHN, Bong Man AHN, Heung Ki BAIK, },
journal={IEICE TRANSACTIONS on Communications},
title={Linear Prediction-Based Blind Adaptive Channel Identification and Equalization with Phase Offset Compensation for SIMO Channel},
year={2003},
volume={E86-B},
number={8},
pages={2517-2522},
abstract={In this paper, we propose a blind adaptive channel identification and equalization algorithm with phase offset compensation for single-input multiple-output (SIMO) channel. It is based on the one-step forward multichannel linear prediction error method and can be implemented by an RLS algorithm. Phase offset problem is inherent part of any second-order statistics-based blind identification and equalization. To solve this problem, we use a blind adaptive algorithm called the constant modulus derotator (CMD) algorithm based on constant modulus algorithm (CMA). Moreover, unlike many known subspace (SS) methods or cross relation (CR) methods, our proposed algorithms do not require channel order estimation. Therefore, our algorithms are robust to channel order mismatch.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Linear Prediction-Based Blind Adaptive Channel Identification and Equalization with Phase Offset Compensation for SIMO Channel
T2 - IEICE TRANSACTIONS on Communications
SP - 2517
EP - 2522
AU - Kyung Seung AHN
AU - Bong Man AHN
AU - Heung Ki BAIK
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E86-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2003
AB - In this paper, we propose a blind adaptive channel identification and equalization algorithm with phase offset compensation for single-input multiple-output (SIMO) channel. It is based on the one-step forward multichannel linear prediction error method and can be implemented by an RLS algorithm. Phase offset problem is inherent part of any second-order statistics-based blind identification and equalization. To solve this problem, we use a blind adaptive algorithm called the constant modulus derotator (CMD) algorithm based on constant modulus algorithm (CMA). Moreover, unlike many known subspace (SS) methods or cross relation (CR) methods, our proposed algorithms do not require channel order estimation. Therefore, our algorithms are robust to channel order mismatch.
ER -
English
