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On the behavior of current second and higher order blind source separation methods for cyclostationary sources

机译:当前用于循环平稳源的二阶和高阶盲源分离方法的行为

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Most of the second-order (SO) and higher order (HO) blind source separation methods developed in the 1990s aim at blindly separating statistically independent sources that are assumed zero-mean, stationary, and ergodic. Nevertheless, in many situations of practical interest, such as in radiocommunication contexts, the sources are nonstationary and very often (quasi)-cyclostationary (digital modulations). In these conditions, it becomes important to wonder whether the performance of these current SO and HO blind source separation methods, which have been developed for stationary sources, may be affected by the potential nonstationarity of the latter. Limiting the analysis to the SO and fourth-order (FO) cumulant-based blind source separation methods, the purpose of this paper is to bring some answers to this important question through the behavior analysis of the empirical SO and FO cumulants estimator in the presence of zero-mean (quasi)-cyclostationary sources.
机译:1990年代开发的大多数二阶(SO)和高阶(HO)盲源分离方法旨在盲目分离假定为零均值,平稳和遍历的统计独立源。但是,在许多实际感兴趣的情况下,例如在无线电通信环境中,源是非平稳的,并且经常是(准)循环平稳(数字调制)的。在这些条件下,重要的是要想想,为固定源开发的这些当前SO和HO盲源分离方法的性能是否会受到后者潜在的非平稳性的影响。将分析限制在基于SO和四阶(FO)累积量的盲源分离方法中,本文的目的是通过对存在的经验SO和FO累积量估计器的行为分析,为这个重要问题提供一些答案。零均值(准)循环平稳源。

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