摘要
为了克服传统恒模算法(CMA)收敛速度慢与无相位纠错能力的缺点,提出了一种均方轮廓多小波盲均衡算法(MWTSCA)。该算法一方面利用均方轮廓算法对相位模糊予以及时纠正,且对非常模高阶QAM的均衡具有良好收敛性能;另一方面利用平衡正交多小波变换对均衡器输入信号进行去相关性处理,进一步提高了算法的性能。理论分析和水声信道仿真结果表明,所提出的算法具有较快的收敛速度和较小的稳态误差。
In order to overcome shortcoming of slow convergence and without phase error correction capability of the traditional Constant Modulus Algorithm（CMA）, Multi-Wavelets Transform based Square Contour Algorithm（MWTSCA）is proposed. In the proposed algorithm, on the one hand it uses square contour algorithm to correct promptly phase ambiguity and to the non-constant modulus high-order QAM it has good performance, on the other hand, it uses the de-correlation ability of balanced orthogonal multi-wavelet transform to further improve the performance of the algorithm. Theoretical analysis and underwater acoustic channel simulation results show that the proposed algorithm has a faster convergence rate and smaller steady-state error.
出处
《计算机工程与应用》
CSCD
北大核心
2015年第14期226-230,共5页
Computer Engineering and Applications
基金
安徽省重点教学研究项目(No.2012jyxm350)
安庆师范学院青年科研基金(No.KJ201316
No.KJ201211)
关键词
盲均衡
水声信道
均方轮廓算法
多小波变换
blind equalization
underwater acoustic channels
square contour algorithm
multiwavelets transform
