新的混合型盲均衡算法  

Novel hybrid blind equalization algorithms

作　　者：刘顺兰[1] 王琳[1] 

机构地区：[1]杭州电子科技大学通信工程学院,杭州310018

出　　处：《计算机工程与应用》2012年第10期137-140,163,共5页Computer Engineering and Applications

摘　　要：以修正常数模算法(MCMA)为基础,用变步长代替固定步长,提出一种新的变步长修正常数模算法(VSS-MCMA),并在此基础上提出一种基于均方误差判决引导(DD)的双模式盲均衡算法(DD-VSS-MCMA),该算法在收敛阶段采用收敛性能良好的VSS-MCMA算法,当剩余均方误差达到足够低时切换到DD算法,又在此算法的代价函数中加入星座图匹配误差函数(CME),进一步提出CME-DD-VSS-MCMA算法。计算机仿真结果表明:与MCMA算法相比,提出的VSS-MCMA可以同时提高收敛速度和降低稳态剩余码间干扰(ISI),DD-VSS-MCMA进一步降低了稳态剩余ISI,CME-DD-VSS-MCMA显著地加快了收敛速度并获得了更好的稳定性能。This paper proposes a novel Varying Step Size Modified Constant Modulus Algorithm(VSS-MCMA). And on this basis, this paper presents another new decision directed variable step size MCMA(DD-VSS-MCMA) based on the Mean Square Error(MSE), that is, the VSS-MCMA is switched to the DD algorithm when the MSE is small enough. Furthermore, the constellation matched error(CME)function is inserted into the cost function of the DD-VSS-MCMA and the CME-DD-VSS-MCMA algorithm is put forward. The simulation results show that the pro- posed VSS-MCMA can simultaneously improve the convergence and the steady-state residual ISI performance com- pared with MCMA, DD-VSS-MCMA can further reduce the residual Inter-Symbol Interference(ISI), and the pre- sented CME-DD-VSS-MCMA can speed up the convergence and can attain slower residual ISI.

关 键 词：修正常数模算法 变步长 判决引导算法 星座图匹配误差函数 剩余码间干扰 

分 类 号：TN911.22[电子电信—通信与信息系统]