基于二阶、四阶累积量的盲解卷积准则

Criteria for Blind Deconvolution Based on Second and Fourth Order Cumulates

  • 摘要: 以SW理论为基础,研究了一般的非最小相位系统的盲解卷积问题;基于二阶、四阶累积量,定义了一个新的概念——归一化累积量,形成了归一化累积量匹配的盲解卷积准则;并导出了一种新的盲均衡算法,计算机模拟验证了该算法,获得了可用结果。

     

    Abstract: Based on SW theory, this paper studies the general blind deconvolution problems of non-minimum systems. A new concept of normalized cumulant stemmed from second and fourth order cumulants is defined. The normalized cumulant character of signal passing linear systems is analyzed. Then a new blind deconvolution criteria of normalized cumulant matching is presented, and a new algorithm is also derived. The usable computer simulation results for demonstration of the performance of the proposed algorithm are obtained.

     

/

返回文章
返回