摘要
研究了基于混沌的通信系统的盲均衡问题.其出发点是利用基于无先导变换,并组合信号建模技术,进而提出一种盲均衡算法.仿真结果表明,这种盲均衡算法能有效地抑制各种信道畸变和噪声.与基于扩展卡尔曼滤波器的盲均衡算法相比,在低信噪比的情况下,前者有较快的收敛速度,并具有较好的均衡实现.
Side-effects of communication channel seriously impair practical performance of chaos-based communication systems. This paper addresses the issues of blind equalization for chaos-based communication systems. The starting point of this paper is to make use of the Unscented Transform (UT) and the modeling technique for signal, and a blind equalization algorithm is then proposed. It indicates by computer simulation that this algorithm can effectively reduce various distortions and noise in channel. In comparison with the EKF-based algorithm, UT-based algorithm has faster convergence speed and better equalization performance, when channel is with low signal to noise ratio (SNR).
出处
《西南师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2004年第3期373-378,共6页
Journal of Southwest China Normal University(Natural Science Edition)
基金
教育部回国留学人员科研专项资助(130501)
西南师范大学博士基金(220-413604).
关键词
混沌
通信
衰落信道
盲均衡
卡尔曼滤波器
无先导变换
自回归模型
chaos
communication
fading channel
blind equalization
Extended Kalman Filter
Unscented Transform
autoregressive model
