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一种基于标准峭度的新型复数盲分离算法

DOI: 10.3969/j.issn.1005-3026.2015.05.002, PP. 614-617

Keywords: 复值,峭度,标准峭度,代价函数,独立分量分析

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Abstract:

在复值信号的盲分离算法中,经常采用信号的峭度最大化作为代价函数.以复数标准峭度代替复数峭度,将复数信号的标准峭度最大化作为新的代价函数,采用修正的复值拟牛顿迭代算法对代价函数进行优化,并运用该算法对混合QAM信号进行分离.仿真实验结果表明:改进后的算法具有很好的分离效果,相比于峭度最大化为代价函数的分离算法,收敛性能有明显提高.

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