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.
出处
《计算机工程与应用》
CSCD
2012年第10期137-140,163,共5页
Computer Engineering and Applications
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
modified constant modulus algorithm
variable-step-size
decision-directed
constellation matched error
residual Inter-Symbol Interference(ISI)
