一种改进的变步长常数模算法
doi: 10.3724/SP.J.1146.2005.00743
A Modified Variable Step Size Constant Modulus Algorithm
-
摘要: 常数模算法是一种最为常用的盲均衡算法,普遍应用于恒包络信号和非恒包络信号的均衡,但存在收敛速度慢和剩余误差大的缺点。在深入研究常数模算法的基础上,该文提出一种改进的变步长算法,对其性能进行了理论分析,并对二值序列以及正交幅度调制信号进行了仿真。理论分析和仿真结果表明:该算法具有收敛速度快、剩余误差小的特点。Abstract: Constant modulus algorithm is a most popular algorithm and is widely used for blind equalization of non-constant envelope signals and constant envelope signals. But it exhibits very slow convergence speed and large residual error. A modified variable step size algorithm is proposed based on constant modulus algorithm. Its theoretical analysis is made and it is simulated with binary sequence and quadrature amplitude modulation signals. Theoretical analysis and simulation results show that it has the characteristics of fast convergence speed and small residual error.
-
[1] Kim H N,Lee Y T,and Kim S W.Blind decision feed back equalization for V eivers.IEEE Trans.on Consumer Electronics,2002,48(8):606-609. [2] 赵宝峰. 变步长盲均衡算法的研究. [硕士论文], 太原: 太原理工大学, 2004, 5. [3] 冯熳, 廖桂生. 恒模算法: 进展与展望. 信号处理, 2003, 19(5): 441-447. [4] Li Ning, Guo Yan, and Guo Li. Property of the constant modulus algorithm to capture the weak signal.The Journal of China Universities of Posts and Telecommunications, 2003,10(1): 9-14. [5] Kwong R H and Johnston E W. A variable step size LMS algorithm[J].IEEE Trans.on Signal Processing.1992,40(7):1633- [6] 刘琚, 代凌云. 一种新的基于多模误差切换的盲均衡算法. 数据采集与处理,2004,19(2):167-170. Liu Ju and Dai Lingyun. New blind equalization algorithm based on multi-mode error switch. Acquisition Processing, 2004, 19(2): 167-170. [7] 王峰, 赵俊渭. 一种长数模与判决导引相结合的盲均衡算法研究. 通信学报, 2002, 23(6): 105-109. Wang Feng and Zhao Jun-wei. On blind equalization united by constant modulus and decision directed algorithm. Journal of China Institute of Communications, 2002, 23(6): 105-109. [8] Godard D N. Self recovering equalization and carrier tracking in two dimensinal data communication system[J].IEEE Trans. on Commun.1980, 28(11):1867-1875
计量
- 文章访问数: 3021
- HTML全文浏览量: 125
- PDF下载量: 777
- 被引次数: 0