摘要
恒模算法(CMA)是一种重要的盲均衡技术,虽然能达到盲均衡效果,但是收敛后有较大的剩余误差和相位模糊。在VS-MCMA+DD-LMS算法的基础上进行了改进,提出变步长修正多模算法(VS-MMMA)和DD-LMS相结合,以及变步长解相关修正多模算法(VS-UMMMA)和DD-LMS相结合两种新算法,新算法在收敛速度和均衡误差方面均有明显的改进。最后,对该算法进行了仿真和性能分析。
CMA is a very important technology of blind equalization. Although it can achieve the aim of blind equalization, it has the problems of big residual error and phase blur when convergenced. In this paper, two variable step modified dual-mode blind equalization algorithms are proposed. The algorithm of VS-MMMA＋DD-LMS units the modified multi-modulus algorithm and decision directed algorithm. The algorithm of VS-UMMMA ＋ DD-LMS units the uncorrelated modified multi-modulus algorithm and decision directed algorithm. The algorithms proposed in this paper can improve the speed of convergence and reduce the residual error effectively. The capability of this algorithm is simulated and analysed finally.
出处
《电视技术》
北大核心
2011年第13期86-88,109,共4页
Video Engineering
基金
河北省自然科学基金项目(F2008000891)
关键词
剩余误差
相位模糊
解相关
residual error
phase blur
uncorrelated
