基于误差函数的双模式混合盲均衡算法

针对基于统计量和瞬时量盲均衡算法的特点,在分析双模式算法切换方式的基础上,提出了一种基于误差函数的双模式混合盲均衡算法.该算法针对修正的常数模算法(MCMA)和判决导引算法(DD)特点,利用2种算法误差函数间的互相关性,提出了新的加权因子选取方法,动态控制双模式混合下2种算法的权重比例,更为准确地控制切换时机,即使在误判决的情况下也能因其动态特性切换回合适的权重比例.水声信道仿真实验进一步说明了该算法在收敛速度上的优越性.

A dual-mode hybrid blind equalization algorithm based on error function

On account of the characteristics of the statistic and instantaneous amount of blind equalization algorithm,this paper proposes a new dual-mode hybrid blind equalization algorithm based on error function by analyzing dual-mode algorithm.Concentrating on characteristics of Modified Constant Modulus Algorithm (MCMA) and Decision Directed (DD) algorithm and using correlation between the two algorithms'' error function,this paper finds a new way to select weighting factor,which can control the weight ratio of the two algorithms in the dual-mode dynamically and choose the time to switch accurately.The algorithm can switch back to the right proportion even in error of judgment,due to its dynamic characteristics.The underwater acoustic channel simulation experiment illustrates the superiority of the algorithm in convergence rate.