【作者】 王世元； 冯久超；

【Author】 Wang Shiyuan, Feng JiuchaoFaculty of Electronic and Information Engineering. Southwest China Normal University, Chongqing400715School of Electronic and Information Engineering, South China University of Technology, Guangzhou510541

【机构】 西南师范大学电子与信息工程学院；

【摘要】 本文研究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(UnscentedTransform,UT),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(Extended Kalman filter,EKF)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。更多还原

【Abstract】 The issues of blind equalization for chaos-based communication systems are addressed in this paper. The start point of this paper is to make use of the Unscented Transform (UT) in combinadon with 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).更多还原