【作者】 吕振肃； 韩明秋； 许勇； 段磊；

【Author】 Lu Zhensu, Han Mingqiu, Xu Yong, Duan Lei (Institute of information Science and Engineering, Lanzhou University. Lanzhou 730000)

【机构】 兰州大学信息科学与工程学院；

【摘要】 用于数字通信盲信道均衡的恒模算法(CMA)存在收敛速度慢和相位旋转等缺点,本文提出了一种基于分数间隔的改进CMA+SDD算法,该算法能使被修正的误差函数最小化,并且自适应学习率可由接收序列即时调整。仿真结果显示:本文提出的算法比普通的CMA算法收敛速度快,稳态误差小,均衡输出符号间干扰(ISI)小,并且算法收敛后均衡器输出无相位旋转。更多还原

【Abstract】 In digital communications, the constant modulus algorithm (CMA) for blind channel equalization has some disadvantages such as slow convergence speed and phase rotation. Therefore, an improved CMA+SDD(soft decision directed) algorithm based on fractionally spaced equalizer (FSE) is proposed. The algorithm minimizes a modified error function and the learning-rate is modulated by the received sequences. The improved CMA+SDD blind equalizer is shown to have faster convergence speed, biggish improved steady-state equalization performance, and no phase rotation compared with the existing CMA blind equalizer.更多还原