Decision feedback equalizer based on non-singleton fuzzy support vector machine
被引:0
作者:
Song, Heng
论文数: 0引用数: 0
h-index: 0
机构:
School of Engineering, Air Force Engineering UniversitySchool of Engineering, Air Force Engineering University
Song, Heng
[1
]
Wang, Chen
论文数: 0引用数: 0
h-index: 0
机构:
School of Engineering, Air Force Engineering UniversitySchool of Engineering, Air Force Engineering University
Wang, Chen
[1
]
Ma, Shi-Ping
论文数: 0引用数: 0
h-index: 0
机构:
School of Engineering, Air Force Engineering UniversitySchool of Engineering, Air Force Engineering University
Ma, Shi-Ping
[1
]
Zuo, Ji-Zhang
论文数: 0引用数: 0
h-index: 0
机构:
School of Engineering, Air Force Engineering UniversitySchool of Engineering, Air Force Engineering University
Zuo, Ji-Zhang
[1
]
机构:
[1] School of Engineering, Air Force Engineering University
来源:
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
|
2008年
/
30卷
/
01期
关键词:
Decision feedback;
Equalizer;
Fuzzy system;
Non-singleton;
Support Vector Machine (SVM);
D O I:
10.3724/sp.j.1146.2006.00803
中图分类号:
学科分类号:
摘要:
A non-singleton fuzzy support vector machine-based decision feedback equalizer (NSFSVM DFE) is proposed in this paper for severely nonlinear distorted channels with burst jamming. The method adopted non-singleton fuzzy Gauss kernel function with preceding filtering capability of which the tunable parameter is adjusted by gradient-descent algorithm. Simulation is carried out to compare it with other nonlinear channel equalizers. The result shows the method has much better performance on nonlinear equalization and anti-burst jamming.