Blind equalization based on FABA-SISO for continuous phase modulation signals over time-varying frequency-selective fading channels

被引:0
作者
Zhong, Kai [1 ]
Peng, Hua [1 ]
Ge, Lin-Dong [1 ]
机构
[1] Institute of Information System Engineering, Information Engineering University of PLA, Zhengzhou
来源
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2015年 / 37卷 / 11期
基金
中国国家自然科学基金;
关键词
Blind equalization; Continuous Phase Modulation (CPM); Forward Adaptive Backward Adaptive Soft-Input Soft-Output (FABA-SISO) algorithm; Kalman filtering; Per- Survivor Processing (PSP); Time-varying frequency-selective fading channels;
D O I
10.11999/JEIT150026
中图分类号
学科分类号
摘要
To solve the issues of the high complexity, poor performance, and slow convergence speed in the blind equalization of high order Continuous Phase Modulation (CPM) signals, a new blind equalization method based on Forward Adaptive Backward Adaptive Soft-Input Soft-Output (FABA-SISO) algorithm used in linear modulation signals is developed from the perspective of bidirectional adaptive channel equalization. A novel adaptive blind equalization algorithm for high order CPM signals is proposed based on the combination of Per-Survivor Processing (PSP) and Kalman filtering. The algorithm improves the equalization performance by applying the FABA-SISO which uses the past, the present and the future observation to implement Kalman filtering channel estimation. Simultaneously, a PSP algorithm is used for further improvement of the system complexity, so that the algorithm is better suitable for engineering application. The simulation results show that the proposed algorithm provides a good blind equalization performance and convergence. © 2015, Science Press. All right reserved.
引用
收藏
页码:2672 / 2677
页数:5
相关论文
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