A New Semi-Blind Method for Spatial Equalization in MIMO Systems
Summary :
In this letter, a new semi-blind approach incorporating the bounded nature of communication sources with the distance between the equalizer outputs and the training sequence is proposed. By utilizing the sparsity property of l1-norm cost function, the proposed algorithm can outperform the semi-blind method based on higher-order statistics (HOS) criterion especially for transmitting sources with non-constant modulus. Experimental results demonstrate that the proposed method shows superior performance over the HOS based semi-blind method and the classical training-based method for QPSK and 16QAM sources equalization. While for 64QAM signal inputs, the proposed algorithm exhibits its superiority in low signal-to-noise-ratio (SNR) conditions compared with the training-based method.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.10 pp.1693-1697
- Publication Date
- 2018/10/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E101.A.1693
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Liu YANG
Army Engineering University of PLA
Hang ZHANG
Army Engineering University of PLA
Yang CAI
Space Engineering University of PLA
Qiao SU
Army Engineering University of PLA
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Liu YANG, Hang ZHANG, Yang CAI, Qiao SU, "A New Semi-Blind Method for Spatial Equalization in MIMO Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 10, pp. 1693-1697, October 2018, doi: 10.1587/transfun.E101.A.1693.
Abstract: In this letter, a new semi-blind approach incorporating the bounded nature of communication sources with the distance between the equalizer outputs and the training sequence is proposed. By utilizing the sparsity property of l1-norm cost function, the proposed algorithm can outperform the semi-blind method based on higher-order statistics (HOS) criterion especially for transmitting sources with non-constant modulus. Experimental results demonstrate that the proposed method shows superior performance over the HOS based semi-blind method and the classical training-based method for QPSK and 16QAM sources equalization. While for 64QAM signal inputs, the proposed algorithm exhibits its superiority in low signal-to-noise-ratio (SNR) conditions compared with the training-based method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1693/_p
Copy
@ARTICLE{e101-a_10_1693,
author={Liu YANG, Hang ZHANG, Yang CAI, Qiao SU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A New Semi-Blind Method for Spatial Equalization in MIMO Systems},
year={2018},
volume={E101-A},
number={10},
pages={1693-1697},
abstract={In this letter, a new semi-blind approach incorporating the bounded nature of communication sources with the distance between the equalizer outputs and the training sequence is proposed. By utilizing the sparsity property of l1-norm cost function, the proposed algorithm can outperform the semi-blind method based on higher-order statistics (HOS) criterion especially for transmitting sources with non-constant modulus. Experimental results demonstrate that the proposed method shows superior performance over the HOS based semi-blind method and the classical training-based method for QPSK and 16QAM sources equalization. While for 64QAM signal inputs, the proposed algorithm exhibits its superiority in low signal-to-noise-ratio (SNR) conditions compared with the training-based method.},
keywords={},
doi={10.1587/transfun.E101.A.1693},
ISSN={1745-1337},
month={October},}
Copy
TY - JOUR
TI - A New Semi-Blind Method for Spatial Equalization in MIMO Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1693
EP - 1697
AU - Liu YANG
AU - Hang ZHANG
AU - Yang CAI
AU - Qiao SU
PY - 2018
DO - 10.1587/transfun.E101.A.1693
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2018
AB - In this letter, a new semi-blind approach incorporating the bounded nature of communication sources with the distance between the equalizer outputs and the training sequence is proposed. By utilizing the sparsity property of l1-norm cost function, the proposed algorithm can outperform the semi-blind method based on higher-order statistics (HOS) criterion especially for transmitting sources with non-constant modulus. Experimental results demonstrate that the proposed method shows superior performance over the HOS based semi-blind method and the classical training-based method for QPSK and 16QAM sources equalization. While for 64QAM signal inputs, the proposed algorithm exhibits its superiority in low signal-to-noise-ratio (SNR) conditions compared with the training-based method.
ER -
English
