复值信号盲分离算法的研究

针对现有盲源分离算法适用范围受限、收敛速度过慢等问题,提出了一种适用于任意非高斯统计独立的复值信号快速盲分离算法.该算法以复值信号的峭度最大化为目标函数,采用修正的复值拟牛顿迭带算法对目标函数优化.分别用圆对称和非圆对称复值信号以及二者混合信号作为信号源对该算法和现有算法进行仿真对比.实验结果表明,该算法相对现有算法,不但很好地分离出非圆对称复值信号和圆对称复值信号,对于二者混合的信号仍有很好的分离效果,而且具有收敛速度快、不需要步长调节参数、分离误差小等优点.

A blind separation algorithm for complex-value signal sources

Current blind source separation algorithms have limited ranges of application and their convergence rate is too slow.To overcome this,the authors developed a kind of fast blind separation algorithm that can be used to separate any non-Gaussian statistically independent complex-value signal.The object function of this algorithm maximizes kurtosis of complex signals,optimizing the object function using a complex quasi-Newtonian iterative algorithm.Circularly symmetrical signals,non-circularly symmetrical comp...