基于二、四阶累积量的双模式盲均衡算法

Dual-mode algorithm for blind equalization based on second and fourth order cumulants

针对Shalvi-Weistein(SW)准则和一种有约束条件的SW准则而导出盲均衡算法有不直接性的弊端,介绍了一种归一化累积量的盲均衡准则,同时介绍了基于此准则导出的通过线性时不变系统的盲均衡算法(HOS算法);并将此算法结合传统的直接判决算法,形成了一种基于二阶和四阶累积量的双模式盲均衡(dual-mode HOS)算法。计算机仿真结果表明,双模式盲均衡算法比由准则直接导出的盲均衡算法误差小,有着更优越的性能。

This paper considers the general blind equalization problem of non-minimum systems. A normalized cumulant consisting of second and fourth cumulants is proposed, and a blind equalization criterion for normalized cumulant matching presented. A new HOS algorithm is then derived, and an improved algorithm （dual-mode algorithm） proposed. Computer simulation results are included to compare the performance of the proposed algorithm.