Blind Channel Identification and Equalization from Second-Order Statistics and Absolute Mean
Summary :
This paper presents a new blind identification method of nonminimum phase FIR systems and an adaptive blind equalization for PAM/QAM inputs without employing higher-order statistics. They are based on the observation that the absolute mean of a second-order white sequence can measure whether the sequence is higher-order white or not. The proposed methods are new alternatives to many higher-order statistics approaches. Some computer simulations show that the absolute mean is exactly estimated and the proposed methods can overcome the disadvantages of the higher-order statistics approaches.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E79-B No.9 pp.1271-1277
- Publication Date
- 1996/09/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on Personal Communications)
- Category
- Modulation, Equalization and interference cancellation technologies
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Yangsoo PARK, Kang Min PARK, Iickho SONG, Hyung-Myung KIM, "Blind Channel Identification and Equalization from Second-Order Statistics and Absolute Mean" in IEICE TRANSACTIONS on Communications,
vol. E79-B, no. 9, pp. 1271-1277, September 1996, doi: .
Abstract: This paper presents a new blind identification method of nonminimum phase FIR systems and an adaptive blind equalization for PAM/QAM inputs without employing higher-order statistics. They are based on the observation that the absolute mean of a second-order white sequence can measure whether the sequence is higher-order white or not. The proposed methods are new alternatives to many higher-order statistics approaches. Some computer simulations show that the absolute mean is exactly estimated and the proposed methods can overcome the disadvantages of the higher-order statistics approaches.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e79-b_9_1271/_p
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@ARTICLE{e79-b_9_1271,
author={Yangsoo PARK, Kang Min PARK, Iickho SONG, Hyung-Myung KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Blind Channel Identification and Equalization from Second-Order Statistics and Absolute Mean},
year={1996},
volume={E79-B},
number={9},
pages={1271-1277},
abstract={This paper presents a new blind identification method of nonminimum phase FIR systems and an adaptive blind equalization for PAM/QAM inputs without employing higher-order statistics. They are based on the observation that the absolute mean of a second-order white sequence can measure whether the sequence is higher-order white or not. The proposed methods are new alternatives to many higher-order statistics approaches. Some computer simulations show that the absolute mean is exactly estimated and the proposed methods can overcome the disadvantages of the higher-order statistics approaches.},
keywords={},
doi={},
ISSN={},
month={September},}
Copy
TY - JOUR
TI - Blind Channel Identification and Equalization from Second-Order Statistics and Absolute Mean
T2 - IEICE TRANSACTIONS on Communications
SP - 1271
EP - 1277
AU - Yangsoo PARK
AU - Kang Min PARK
AU - Iickho SONG
AU - Hyung-Myung KIM
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E79-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 1996
AB - This paper presents a new blind identification method of nonminimum phase FIR systems and an adaptive blind equalization for PAM/QAM inputs without employing higher-order statistics. They are based on the observation that the absolute mean of a second-order white sequence can measure whether the sequence is higher-order white or not. The proposed methods are new alternatives to many higher-order statistics approaches. Some computer simulations show that the absolute mean is exactly estimated and the proposed methods can overcome the disadvantages of the higher-order statistics approaches.
ER -
English
